JP7040217B2 - Information processing programs, information processing methods, and information processing equipment - Google Patents

Description

The present invention relates to an information processing program, an information processing method, and an information processing apparatus.

Conventionally, a flow diagram that visually shows the flow of processing may be created by using an object indicating processing and an arrow indicating an order relationship between processing by indicating a connection relationship between objects.

Prior art, for example, allows different pie menu processing information to be selected depending on the drawing direction. Further, for example, a technique for comprehensively extracting the objectives related to the theme items and enumerating them as objective items, and plotting the listed objective items from the highest objective item to the lowest objective item as a chain diagram. There is. Further, for example, there is a technique of changing and displaying the evaluation result of each element with the direction indicated by the handle as the evaluation axis by arbitrarily changing and setting the direction of the handle.

Japanese Unexamined Patent Application Publication No. 2003-225209 Japanese Unexamined Patent Publication No. 2012-27576 Japanese Unexamined Patent Publication No. 2005-209138

However, in the prior art, it is difficult to grasp which of the other processes is affected when the content of the process indicated by any of the objects is changed. For example, if the content of the process indicated by one of the objects is changed and the same object exists in multiple flow diagrams, check each flow diagram of the multiple flow diagrams and determine which of the other processes will be affected. It will be grasped, which will increase the burden.

In one aspect, it is an object of the present invention to make it easier to understand the range of influence of parts.

According to one embodiment, based on a plurality of drawings in which a directed graph is represented by arranging a component and a connecting component showing a connection relationship between the components, an order relationship between the components is provided for each of the two components having a connection relationship. When the order information indicating the specified parts is generated and the designation of any of the parts is accepted, the parts ordered immediately before the specified parts and the parts ordered immediately after the specified parts are ordered based on the generated order information. Information processing programs, information processing methods, and information processing devices that output information about at least one of the parts are proposed.

According to one aspect, it becomes possible to easily grasp the range of influence of the parts.

FIG. 1 is an explanatory diagram showing an embodiment of an information processing method according to an embodiment. FIG. 2 is an explanatory diagram showing an example of the information processing system 200. FIG. 3 is a block diagram showing a hardware configuration example of the information processing apparatus 100. FIG. 4 is an explanatory diagram showing an example of the stored contents of the positional relationship table 400. FIG. 5 is an explanatory diagram showing an example of the stored contents of the influence degree table 500. FIG. 6 is an explanatory diagram showing an example of the storage contents of the arrangement rule table 600. FIG. 7 is an explanatory diagram showing an example of the stored contents of the attribute table 700. FIG. 8 is a block diagram showing a hardware configuration example of the client device 201. FIG. 9 is a block diagram showing a functional configuration example of the information processing apparatus 100. FIG. 10 is an explanatory diagram (No. 1) showing an example of the flow diagram. FIG. 11 is an explanatory diagram (No. 2) showing an example of the flow diagram. FIG. 12 is an explanatory diagram (No. 3) showing an example of the flow diagram. FIG. 13 is an explanatory diagram (No. 1) showing an example of determining the connection relationship between objects. FIG. 14 is an explanatory diagram (No. 2) showing an example of determining the connection relationship between objects. FIG. 15 is an explanatory diagram (No. 3) showing an example of determining the connection relationship between objects. FIG. 16 is an explanatory diagram (No. 4) showing an example of determining the connection relationship between objects. FIG. 17 is a flowchart showing an example of the table creation processing procedure. FIG. 18 is a flowchart showing an example of the first creation processing procedure. FIG. 19 is a flowchart showing an example of the sub-processing procedure of step S1803. FIG. 20 is a flowchart showing an example of the second creation processing procedure. FIG. 21 is a flowchart showing an example of the third creation processing procedure. FIG. 22 is an explanatory diagram (No. 1) showing an example in which the information processing apparatus 100 implements drawing support. FIG. 23 is an explanatory diagram (No. 2) showing an example in which the information processing apparatus 100 implements drawing support. FIG. 24 is a flowchart (No. 1) showing an example of the drawing support processing procedure. FIG. 25 is a flowchart (No. 2) showing an example of the drawing support processing procedure. FIG. 26 is an explanatory diagram showing an example in which the information processing apparatus 100 performs an error check. FIG. 27 is a flowchart showing an example of the error check processing procedure. FIG. 28 is a flowchart showing an example of the sub-processing procedure of step S2702. FIG. 29 is an explanatory diagram showing an example in which the information processing apparatus 100 displays the influence range. FIG. 30 is a flowchart showing an example of the influence range display processing procedure. FIG. 31 is an explanatory diagram (No. 1) showing an example of performing correction support when moving an object. FIG. 32 is an explanatory diagram (No. 2) showing an example of performing correction support when the object is moved. FIG. 33 is an explanatory diagram (No. 3) showing an example of performing correction support when the object is moved. FIG. 34 is an explanatory diagram (No. 4) showing an example of performing correction support when the object is moved. FIG. 35 is an explanatory diagram (No. 1) showing an example of performing correction support when an object is changed. FIG. 36 is an explanatory diagram (No. 2) showing an example of performing correction support when the object is changed. FIG. 37 is an explanatory diagram (No. 3) showing an example of performing correction support when the object is changed. FIG. 38 is an explanatory diagram (No. 1) showing an example of performing correction support when the arrow is changed. FIG. 39 is an explanatory diagram (No. 2) showing an example of performing correction support when the arrow is changed. FIG. 40 is an explanatory diagram (No. 3) showing an example of performing correction support when the arrow is changed. FIG. 41 is a flowchart (No. 1) showing an example of the movement check processing procedure. FIG. 42 is a flowchart (No. 2) showing an example of the movement check processing procedure. FIG. 43 is a flowchart showing an example of the change check processing procedure. FIG. 44 is a flowchart showing an example of the sub-processing procedure of step S4305. FIG. 45 is a flowchart showing an example of the sub-processing procedure of step S4309. FIG. 46 is a flowchart (No. 1) showing an example of the arrow change check processing procedure. FIG. 47 is a flowchart (No. 2) showing an example of the arrow change check processing procedure. FIG. 48 is an explanatory diagram showing an example in which the information processing apparatus 100 implements the influence degree display. FIG. 49 is a flowchart showing an example of the single influence degree display processing procedure. FIG. 50 is a flowchart showing an example of a plurality of influence degree display processing procedure. FIG. 51 is a flowchart showing an example of the sub-processing procedure of step S5003. FIG. 52 is a flowchart showing an example of the overall influence degree display processing procedure.

Hereinafter, embodiments of an information processing program, an information processing method, and an information processing apparatus according to the present invention will be described in detail with reference to the drawings.

(Example of information processing method according to the embodiment)
FIG. 1 is an explanatory diagram showing an embodiment of an information processing method according to an embodiment. The information processing apparatus 100 is a computer that supports work related to a drawing representing a directed graph by arranging parts and connection parts showing connection relationships between the parts.

A directed graph is a graph that contains elements that are nodes and the elements are connected by directional edges. Nodes correspond to parts, for example. The edge corresponds to, for example, an arrow. A part is, for example, an object. The connecting component is, for example, an arrow. The drawing is a flow diagram that visually represents the flow of processing by using, for example, an object indicating processing and an arrow indicating a connection relationship between the objects. Work related to a drawing includes work to create a drawing, work to modify a drawing, work to verify a drawing, or work to read information from a drawing.

Here, the work related to the drawing may be difficult, which may increase the work load or cause a work error. For example, if the content of the process indicated by any object arranged in any one of the plurality of drawings is changed, it is difficult to read from the plurality of drawings which other process is affected.

Specifically, if the processing content indicated by any of the objects placed in any of the flow diagrams is changed and the same object exists in multiple flow diagrams, check each flow diagram of the multiple flow diagrams. And you will know which other process it will affect. For this reason, the burden may increase or a grasping error may occur.

Therefore, in the present embodiment, it is possible to generate information indicating the relationship between parts based on a plurality of drawings and support the work related to the drawing based on the information indicating the relationship between the parts based on a plurality of drawings. The information processing method that can be performed will be explained.

In FIG. 1, the information processing apparatus 100 acquires a plurality of drawings 101. The information processing apparatus 100 acquires the drawing 101 based on, for example, the operation input of the user. The information processing device 100 may receive the drawing 101 from a device different from the information processing device 100.

The information processing apparatus 100 generates information indicating the relationship between the parts for each combination of two parts having a connection relationship based on the plurality of drawings 101. The information processing apparatus 100 generates, for example, order information 110 indicating an order relationship between parts for each combination of two parts having a connection relationship. The order relationship is a front-back relationship defined by the direction of the connecting component. The order information 110 corresponds to, for example, the positional relationship table 400 described later with reference to FIG.

The information processing apparatus 100 supports the work related to the predetermined drawing 102 based on the generated information. The predetermined drawing 102 is one of a plurality of drawings 101. The predetermined drawing 102 may be different from the plurality of drawings 101. There may be a plurality of predetermined drawings 102. The work related to the predetermined drawing 102 is, for example, the work of reading information from the predetermined drawing 102.

The information processing apparatus 100 accepts, for example, the designation of any component. Then, the information processing apparatus 100 outputs information 103 regarding at least one of the parts ordered immediately before the designated part and the parts ordered immediately after the designated part, based on the generated order information 110.

Specifically, when the predetermined drawing 102 is displayed, the information processing apparatus 100 accepts the designation of any component of the predetermined drawing 102. The information processing apparatus 100 may accept an identifier of any component based on a user's operation input. Then, the information processing apparatus 100 displays a list of parts ordered immediately before the designated parts and a list of parts ordered immediately after the designated parts as information 103.

As a result, the information processing apparatus 100 can grasp the parts affected by the designated parts without checking the predetermined drawings 102, and reduces the burden on the work of reading the information from the predetermined drawings 102. It can be planned and the occurrence of work mistakes can be suppressed. For example, when a component indicates data or a program, the information processing apparatus 100 can grasp which other component indicates that a change in the data or program indicated by the designated component affects the data or program. As a result, the information processing apparatus 100 can reduce the burden of changing the program.

Here, the case where the information processing device 100 displays the information 103 on its own device has been described, but the present invention is not limited to this. For example, the information processing device 100 may display the information 103 on another device different from the information processing device 100. Specifically, as in the information processing system 200 described later in FIG. 2, the information processing apparatus 100 causes another apparatus to display the information 103.

(Example of information processing system 200)
Next, an example of the information processing system 200 to which the information processing apparatus 100 shown in FIG. 1 is applied will be described with reference to FIG.

FIG. 2 is an explanatory diagram showing an example of the information processing system 200. In FIG. 2, the information processing system 200 includes an information processing device 100 and a client device 201.

In the information processing system 200, the information processing device 100 and the client device 201 are connected via a wired or wireless network 210. The network 210 is, for example, a LAN (Local Area Network), a WAN (Wide Area Network), the Internet, or the like.

The information processing apparatus 100 acquires a plurality of drawings. Drawings represent directed graphs by arranging parts and connecting parts that show the connection relationships between the parts. A part is, for example, an object. The connecting component is, for example, an arrow. The drawing is a flow diagram that visually represents the flow of processing by using, for example, an object indicating processing and an arrow indicating a connection relationship between the objects. The plurality of drawings are obtained from, for example, the client device 201. A plurality of drawings may be acquired based on a user's operation input.

The information processing apparatus 100 generates information indicating the relationship between the parts for each combination of two parts having a connection relationship based on a plurality of drawings. Further, the information processing apparatus 100 may generate information indicating the attributes of the parts. The information processing apparatus 100 generates, for example, various tables 400 to 700, which will be described later in FIGS. 4 to 7, based on a plurality of drawings. An example in which the information processing apparatus 100 generates various tables 400 to 700 will be described later with reference to, for example, FIGS. 10 to 21.

The information processing apparatus 100 supports work related to a predetermined drawing based on the generated information. A given drawing is one of a plurality of drawings. The predetermined drawing may be a drawing different from the plurality of drawings. The predetermined drawing may be, for example, a drawing being created. There may be a plurality of predetermined drawings. The work related to the predetermined drawing is, for example, the following first work, second work, third work, fourth work, fifth work, and the like.

The first work is the work of creating a drawing. The first work is, for example, the work of creating a flow diagram. The information processing apparatus 100 provides drawing support for the first operation. For example, when an arrow whose start point or end point is any object in the flow diagram is arranged in the flow diagram, the information processing apparatus 100 displays candidates for objects connected to the object. The display destination is, for example, the client device 201. An example in which the information processing apparatus 100 implements drawing support will be described later with reference to FIGS. 22 to 25, for example.

The second task is to check for errors in the drawings. The second work is, for example, a work of checking an error in a flow diagram. The information processing apparatus 100 performs an error check for the second operation. The information processing apparatus 100 checks, for example, an error in the positional relationship between two objects having a connection relationship, or checks for an error in the attributes of the objects, and displays the check result. The display destination is, for example, the client device 201. An example in which the information processing apparatus 100 performs an error check will be described later with reference to FIGS. 26 to 28, for example.

The third work is the work of reading the influence range of the parts from the drawing. The third work is, for example, the work of reading the range of influence from one of the objects on the other object from the flow chart. The information processing apparatus 100 displays the range of influence for the third operation. For example, when any object is designated, the information processing apparatus 100 displays the influence range of the designated object. The display destination is, for example, the client device 201. An example in which the information processing apparatus 100 performs the influence range display will be described later with reference to, for example, FIGS. 29 and 30.

The fourth work is the work of modifying the drawing. The fourth work is, for example, the work of modifying the flow diagram. Specifically, the fourth work is a work of moving an object in the flow chart, changing an object in the flow chart, or changing an arrow in the flow chart. The information processing apparatus 100 provides correction support for the fourth operation. The information processing apparatus 100 checks, for example, the movement of an object, the change of an object, and the movement of an arrow, and displays the check result. The display destination is, for example, the client device 201. An example in which the information processing apparatus 100 implements correction support will be described later with reference to FIGS. 31 to 47, for example.

The fifth work is the work of reading the degree of influence of the parts from the drawing. The fifth work is, for example, the work of reading the degree of influence from one object on another object from the flow chart. The information processing apparatus 100 carries out the influence degree display for the fifth work. For example, when any object is designated, the information processing apparatus 100 displays the degree of influence of the designated object. The display destination is, for example, the client device 201. An example in which the information processing apparatus 100 performs the influence degree display will be described later with reference to, for example, FIGS. 48 to 52. The information processing apparatus 100 is, for example, a server, a PC (Personal Computer), or the like.

The client device 201 is a computer on which work related to a predetermined drawing is performed. The client device 201 transmits the drawing to the information processing device 100. The client device 201 transmits the user's operation input in the work related to the predetermined drawing to the information processing device 100. The client device 201 changes the display content of the display according to the control of the information processing device 100. The client device 201 is a server, a PC, a tablet terminal, a smartphone, or the like.

Here, the information processing apparatus 100 generates various tables 400 to 700, and supports the first work, the second work, the third work, the fourth work, the fifth work, and the like. The case has been described, but it is not limited to this. For example, an information processing device 100 that generates various tables 400 to 700, and an information processing device 100 that supports a first work, a second work, a third work, a fourth work, a fifth work, and the like. Is a device different from the above, and may cooperate with each other. Further, for example, the information processing apparatus 100 may not support any of the first work, the second work, the third work, the fourth work, and the fifth work.

(Hardware configuration example of information processing device 100)
Next, a hardware configuration example of the information processing apparatus 100 will be described with reference to FIG.

FIG. 3 is a block diagram showing a hardware configuration example of the information processing apparatus 100. In FIG. 3, the information processing apparatus 100 includes a CPU (Central Processing Unit) 301, a memory 302, a network I / F (Interface) 303, a recording medium I / F 304, and a recording medium 305. Further, each component is connected by a bus 300.

Here, the CPU 301 controls the entire information processing apparatus 100. The memory 302 includes, for example, a ROM (Read Only Memory), a RAM (Random Access Memory), a flash ROM, and the like. Specifically, for example, a flash ROM or ROM stores various programs, and RAM is used as a work area of CPU 301. The program stored in the memory 302 is loaded into the CPU 301 to cause the CPU 301 to execute the coded process. The memory 302 stores various tables described later in FIGS. 4 to 7.

The network I / F 303 is connected to the network 210 through a communication line, and is connected to another computer via the network 210. The network I / F 303 controls an internal interface with the network 210 and controls the input / output of data from another computer. For the network I / F 303, for example, a modem, a LAN adapter, or the like can be adopted.

The recording medium I / F 304 controls read / write of data to the recording medium 305 according to the control of the CPU 301. The recording medium I / F 304 is, for example, a disk drive, an SSD (Solid State Drive), a USB (Universal Serial Bus) port, or the like. The recording medium 305 is a non-volatile memory that stores data written under the control of the recording medium I / F 304. The recording medium 305 is, for example, a disk, a semiconductor memory, a USB memory, or the like. The recording medium 305 may be detachable from the information processing apparatus 100. The recording medium 305 may store various tables described later in FIGS. 4 to 7.

The information processing apparatus 100 may include, for example, a keyboard, a mouse, a display, a printer, a scanner, a microphone, a speaker, and the like, in addition to the above-mentioned components. Further, the information processing apparatus 100 may have a plurality of recording media I / F 304 and recording media 305. Further, the information processing apparatus 100 does not have to have the recording medium I / F 304 or the recording medium 305.

(Memory contents of the positional relationship table 400)
Next, an example of the stored contents of the positional relationship table 400 will be described with reference to FIG. The positional relationship table 400 is realized, for example, by a storage area such as a memory 302 or a recording medium 305 of the information processing apparatus 100 shown in FIG.

FIG. 4 is an explanatory diagram showing an example of the stored contents of the positional relationship table 400. As shown in FIG. 4, the positional relationship table 400 has fields for a start point, an end point, a number of patterns, and relative position information. The field of relative position information has a field of a relative position of a start point and a field of a relative position of an end point. In the positional relationship table 400, the positional relationship information is stored as a record by setting information in each field for each combination of objects having a connection relationship.

In the start point field, the object name of the object connected to the start point side of the arrow is set among the combinations of objects having a connection relationship. The object name of the object connected to the end point side of the arrow is set in the end point field among the combinations of objects having a connection relationship.

The number of patterns is a combination of a start point object and an end point object among a plurality of drawings, and the number of combinations having the same positional relationship is set. The relative position of the start point is set to the relative position of the object of the start point between the object of the start point and the object of the end point. The relative position of the end point is set to the relative position of the end point object between the start point object and the end point object.

(Memory content of impact table 500)
Next, an example of the stored contents of the influence degree table 500 will be described with reference to FIG. The influence table 500 is realized by, for example, a storage area such as a memory 302 or a recording medium 305 of the information processing apparatus 100 shown in FIG.

FIG. 5 is an explanatory diagram showing an example of the stored contents of the influence degree table 500. As shown in FIG. 5, the influence degree table 500 includes an object, an object type, a relative start point number, a relative end point number, a start point influence degree, an end point influence degree, an overall influence degree, a start point candidate, and an end point. Has a field with candidates. In the influence degree table 500, the influence degree information is stored as a record by setting information in each field for each object.

The object name of the object is set in the field of the object. The object type of the object is set in the object type field. In the field of the number of relative start points, the number of other objects that are the start points connected with the object as the end point is set. In the field of the number of relative end points, the number of other objects to be connected with the object as the start point is set.

In the field of the start point influence degree, the start point influence degree, which is the influence degree on other objects as the start point, which is calculated based on the relative start point number, is set. The degree of influence of the start point is, for example, the number of relative start points × the coefficient of the start point. In the end point impact field, the end point influence, which is the degree of influence on other objects that are end points, is set, which is calculated based on the number of relative end points. The end point influence degree is, for example, the number of relative end points × the end point coefficient.

The sum of the start point influence and the end influence is set in the field of the total influence. In the field of the start point candidate, the object name of another object to be connected with the object as the end point is set. In the end point candidate field, the object name of another object that is the end point connected from the object as the start point is set.

(Stored contents of arrangement rule table 600)
Next, an example of the storage contents of the arrangement rule table 600 will be described with reference to FIG. The arrangement rule table 600 is realized, for example, by a storage area such as a memory 302 or a recording medium 305 of the information processing apparatus 100 shown in FIG.

FIG. 6 is an explanatory diagram showing an example of the storage contents of the arrangement rule table 600. As shown in FIG. 6, the arrangement rule table 600 has a field of an X-axis element, a Y-axis element, and an intersection of the X-axis and the Y-axis. The placement rule table 600 stores the placement rule information as a record by setting information in each field for each combination of object types of objects.

The object type of the object to be the end point is set in the field of the X-axis element. The object type of the object that is the starting point is set in the field of the Y-axis element. In the field of the intersection of the X-axis and the Y-axis, a relative position of the end point is set so that the object of the end point can be placed when the object of a predetermined type combination is placed.

(Memory contents of attribute table 700)
Next, an example of the stored contents of the attribute table 700 will be described with reference to FIG. 7. The attribute table 700 is realized, for example, by a storage area such as a memory 302 or a recording medium 305 of the information processing apparatus 100 shown in FIG.

FIG. 7 is an explanatory diagram showing an example of the stored contents of the attribute table 700. As shown in FIG. 7, the attribute table 700 has fields of an object type, a shape, a color, a start point coefficient, and an end point coefficient. In the attribute table 700, attribute information is stored as a record by setting information in each field for each object type.

The object type of the object is set in the object type field. The shape of the object is set in the shape field. The color of the object is set in the color field. The start point coefficient is set in the field of the start point coefficient. The end point coefficient is set in the end point coefficient field.

(Hardware configuration example of client device 201)
Next, a hardware configuration example of the client device 201 included in the information processing system 200 shown in FIG. 2 will be described with reference to FIG.

FIG. 8 is a block diagram showing a hardware configuration example of the client device 201. In FIG. 8, the client device 201 includes a CPU 801 and a memory 802, a network I / F 803, a recording medium I / F 804, a recording medium 805, a display 806, and an input device 807. Further, each component is connected by a bus 800.

Here, the CPU 801 controls the entire client device 201. The memory 802 includes, for example, a ROM, a RAM, a flash ROM, and the like. Specifically, for example, a flash ROM or ROM stores various programs, and RAM is used as a work area of CPU 801. The program stored in the memory 802 is loaded into the CPU 801 to cause the CPU 801 to execute the coded process.

The network I / F803 is connected to the network 210 through a communication line, and is connected to another computer via the network 210. The network I / F 803 controls the internal interface with the network 210 and controls the input / output of data from another computer. For the network I / F803, for example, a modem, a LAN adapter, or the like can be adopted.

The recording medium I / F 804 controls data read / write to the recording medium 805 according to the control of the CPU 801. The recording medium I / F804 is, for example, a disk drive, an SSD, a USB port, or the like. The recording medium 805 is a non-volatile memory that stores data written under the control of the recording medium I / F 804. The recording medium 805 is, for example, a disk, a semiconductor memory, a USB memory, or the like. The recording medium 805 may be detachable from the client device 201.

The display 806 displays data such as a cursor, an icon, a toolbox, a document, an image, and functional information. As the display 806, for example, a CRT (Cathode Ray Tube), a liquid crystal display, an organic EL (Electroluminescence) display and the like can be adopted. The input device 807 has keys for inputting characters, numbers, various instructions, and the like, and inputs data. The input device 807 may be a keyboard, a mouse, or the like, or may be a touch panel type input pad, a numeric keypad, or the like.

In addition to the above-mentioned components, the client device 201 may include, for example, a printer, a scanner, a microphone, a speaker, and the like. Further, the client device 201 may have a plurality of recording media I / F 804 and recording media 805. Further, the client device 201 may not have the recording medium I / F 804 or the recording medium 805.

(Example of functional configuration of information processing device 100)
Next, an example of a functional configuration of the information processing apparatus 100 will be described with reference to FIG.

FIG. 9 is a block diagram showing a functional configuration example of the information processing apparatus 100. The information processing apparatus 100 includes a storage unit 900, an acquisition unit 901, a generation unit 902, and an output unit 903.

The storage unit 900 is realized by, for example, a storage area such as the memory 302 or the recording medium 305 shown in FIG. Hereinafter, the case where the storage unit 900 is included in the information processing apparatus 100 will be described, but the present invention is not limited to this. For example, the storage unit 900 may be included in a device different from the information processing device 100, and the stored contents of the storage unit 900 may be visible from the information processing device 100.

The acquisition unit 901 to the output unit 903 function as an example of the control unit. Specifically, the acquisition unit 901 to the output unit 903 may cause the CPU 301 to execute a program stored in a storage area such as the memory 302 or the recording medium 305 shown in FIG. 3, or the network I / F 303. To realize the function. The processing result of each functional unit is stored in a storage area such as the memory 302 or the recording medium 305 shown in FIG. 3, for example.

The storage unit 900 stores various information referred to or updated in the processing of each functional unit.

The storage unit 900 stores a plurality of drawings. Drawings represent directed graphs by arranging parts and connecting parts that show the connection relationships between the parts. The drawing is, for example, a flow chart. Multiple drawings have common attributes. Multiple drawings include, for example, the same object. A plurality of drawings correspond to a plurality of programs that realize one software, for example.

The part represents a data or program. The part indicates the processing content. A part is, for example, an object. A plurality of parts showing the same data or program can be treated as the same part, for example. The connecting component is, for example, an arrow. The connection component indicates a connection relationship between a component on a line segment extending outward from a first point of the connection component and a component on a line segment extending outward from a second point of the connection component. The order relationship is a front-back relationship defined in the direction indicated by the connecting component. The order relationship is, for example, an order relationship in which the object connected to the start point of the arrow is "before" and the object connected to the end point of the arrow is "after". The end point is, for example, the arrowhead side of the arrow. The starting point is, for example, the opposite side of the arrowhead side. As a result, the storage unit 900 can make the plurality of drawings visible to each functional unit.

The storage unit 900 stores information indicating the relationship between the parts. The storage unit 900 stores, for example, order information. The order information is correspondence information showing the order relationship between the parts for each combination of two parts having a connection relationship. Specifically, the storage unit 900 stores the positional relationship table 400 shown in FIG. 4 and the influence degree table 500 shown in FIG. As a result, the storage unit 900 can refer to the positional relationship table 400 shown in FIG. 4 and the influence degree table 500 shown in FIG. 5 by each functional unit.

The storage unit 900 stores, for example, positional relationship information. The positional relationship information is correspondence information showing the positional relationship of the parts in association with each combination of the types of the two parts having a connection relationship. Specifically, the storage unit 900 stores the arrangement rule table 600 shown in FIG. As a result, the storage unit 900 can make the arrangement rule table 600 shown in FIG. 6 visible to each functional unit.

The storage unit 900 stores, for example, attribute information. The attribute information is correspondence information indicating the attributes of the parts in association with each other for each type of parts. The attribute is the shape or color of the part. Specifically, the storage unit 900 stores the attribute table 700 shown in FIG. 7. As a result, the storage unit 900 can make the attribute table 700 shown in FIG. 7 visible to each functional unit.

The acquisition unit 901 acquires various information used for processing of each functional unit. The acquisition unit 901 may acquire various information used for processing of each functional unit from the storage unit 900 and output the information to each functional unit, for example. For example, the acquisition unit 901 may acquire various information used for processing of each functional unit from a device different from the information processing apparatus 100, store it in the storage unit 900, or output it to each functional unit.

The acquisition unit 901 may accept, for example, the designation of any part. The acquisition unit 901 may accept, for example, an operation of arranging connection parts indicating any part of a predetermined drawing as a start point or an end point. A given drawing represents a directed graph by arranging parts and connecting parts showing the connection relationships between the parts. The predetermined drawing is, for example, one of a plurality of drawings. The predetermined drawing may be a drawing different from the plurality of drawings.

The acquisition unit 901 may accept, for example, a predetermined drawing. The acquisition unit 901 may accept, for example, a movement operation of one of two components having a connection relationship in a predetermined drawing. The acquisition unit 901 may accept, for example, an operation of changing the connection relationship by any connection component in a predetermined drawing. Thereby, the acquisition unit 901 can provide various information used for the processing of each functional unit to each functional unit.

The generation unit 902 generates information indicating the relationship between the parts based on a plurality of drawings. The generation unit 902 generates order information based on, for example, a plurality of drawings. Specifically, the generation unit 902 analyzes the positional relationship for each combination of objects in the plurality of flow diagrams, and generates the positional relationship table 400 shown in FIG. 4 and the influence degree table 500 shown in FIG. As a result, the generation unit 902 can specify the reference of the positional relationship between the objects, and can determine whether or not the positional relationship between any of the objects in a predetermined drawing matches the reference.

The generation unit 902 generates positional relationship information based on, for example, a plurality of drawings. Specifically, the generation unit 902 analyzes the positional relationship for each combination of object types of objects in a plurality of flow diagrams, and generates the arrangement rule table 600 shown in FIG. As a result, the generation unit 902 makes it possible to specify the standard of the positional relationship for each combination of object types, and makes it possible to determine whether or not the positional relationship of any combination of object types in a predetermined drawing matches the standard. be able to.

The generation unit 902 generates attribute information based on, for example, a plurality of drawings. Specifically, the generation unit 902 analyzes the shapes and colors of the objects in the plurality of flow diagrams, and generates the attribute table 700 shown in FIG. 7. As a result, the generation unit 902 can specify the shape and color reference of the object, and can determine whether or not the shape and color of the object in a predetermined drawing match the reference. An example of generating various tables 400 to 700 will be described later with reference to, for example, FIGS. 10 to 21.

The output unit 903 outputs information. The output format is, for example, display on a display, print output to a printer, transmission to an external device by a network I / F 303, or storage in a storage area such as a memory 302 or a recording medium 305.

For example, when a connection component indicating any component in a predetermined drawing as a start point or an end point is arranged, the output unit 903 refers to the direction of the arranged connection component and is based on the generated positional relationship information. , Outputs information about the part connected to any part. Information about the part includes the type of part. Specifically, when an arrow indicating the arranged object as a start point or an end point is arranged, the output unit 903 detects the direction in which the arrow is drawn. The output unit 903 is connected to the placed object based on the positional relationship table 400 and the placement rule table 600, and displays the object name and the object type as information regarding the candidate of the object which is the end point or the start point. The display destination may be, for example, another device.

An example of displaying information about object candidates will be described later with reference to FIGS. 22 to 25, for example. As a result, the output unit 903 can easily grasp the candidate of the object to be connected to the placed object, and can reduce the burden on creating the flow diagram.

The output unit 903 determines, for example, whether or not the positional relationship of two components having a connection relationship in a predetermined drawing is included in the positional relationship indicated by the generated positional relationship information. Then, the output unit 903 outputs the determination result. Specifically, the output unit 903 determines whether or not the positional relationship between the two objects having a connection relationship matches the criteria shown in the arrangement rule table 600. Then, the output unit 903 displays the determination result. The display destination may be another device.

The output unit 903 determines, for example, whether or not the attribute of any part of the predetermined drawing is included in the attribute corresponding to the type of any part based on the generated attribute information. Then, the output unit 903 outputs the determination result. Specifically, the output unit 903 determines whether or not the shape and color of the object conform to the standard based on the attribute table 700. Then, the output unit 903 displays the determination result. The display destination may be, for example, another device.

An example of determining whether or not the positional relationship between objects and the attributes of objects match the criteria will be described later with reference to FIGS. 26 to 28, for example. As a result, the output unit 903 can easily grasp whether or not the positional relationship between the objects and the attributes of the objects match the criteria, and can reduce the burden of modifying the flow diagram.

For example, when the output unit 903 accepts the designation of any part, at least one of the parts ordered immediately before the specified part and the part ordered immediately after the specified part based on the generated order information. Outputs information about the parts of. Information about the part includes the type of part. Specifically, the output unit 903 displays the object name and object type of at least one of the objects ordered immediately before the specified object and the objects ordered immediately after the specified object. The display destination may be another device.

An example of displaying an object name and an object type will be described later with reference to, for example, FIGS. 29 and 30. As a result, the output unit 903 can grasp the range of the data or the program affected by the change of the data or the program indicated by the object, and can reduce the burden of modifying the data or the program. ..

In the output unit 903, for example, when one of the two parts having a connection relationship in a predetermined drawing is moved, the positional relationship between the two parts after the movement is the position indicated by the generated positional relationship information. Determine if it is included in the relationship. Then, the output unit 903 outputs the determination result. Specifically, when one of the two objects having a connection relationship is moved, the output unit 903 determines whether the positional relationship between the two objects after the movement matches the criteria shown in the placement rule table 600. Judge whether or not. Then, the output unit 903 outputs the determination result.

For example, when the output unit 903 changes one component of two components having a connection relationship in a predetermined drawing, the output unit 903 outputs information about the component connected to the other component. Specifically, when the output unit 903 changes one of the two objects having a connection relationship, the positional relationship between the two objects after the change matches the criteria shown in the arrangement rule table 600. , Display change suggestions. The display destination may be, for example, another device. Then, the output unit 903 outputs the determination result.

For example, when the output unit 903 changes the connection relationship by any connection component in a predetermined drawing, the positional relationship of the two components indicating the connection relationship after the change is generated by the output unit 903. It is determined whether or not the information is included in the positional relationship indicated by the information. Then, the output unit 903 outputs the determination result. Specifically, the output unit 903 moves the arrow and determines whether or not the positional relationship between the two objects whose connection relationships have been changed matches the criteria shown in the arrangement rule table 600. Then, the output unit 903 outputs the determination result.

An example of determining whether or not the positional relationship between objects matches the criteria according to the movement of the object and the movement of the arrow, or displaying the change candidates according to the change of the object is, for example, a figure. 31 to 47 will be described later. As a result, the output unit 903 can easily change the object or grasp whether or not the positional relationship between the objects matches the standard, and the burden of modifying the flow diagram can be reduced. Can be planned.

For example, when the output unit 903 accepts the designation of any of the parts, the part ordered immediately before the specified part and the part ordered immediately after the specified part based on the generated order information. Get the number of arrangements in at least one of the drawings. The output unit 903 calculates the degree of influence of any of the designated parts by using the acquired number of arrangements, and outputs the calculated degree of influence. Specifically, the output unit 903 extracts the start point influence degree, the end point influence degree, and the total influence degree corresponding to any of the designated parts from the influence degree table 500. Then, the output unit 903 displays the extracted start point influence degree, end point influence degree, and overall influence degree. The display destination may be, for example, another device.

An example of displaying the start point influence degree, the end point influence degree, and the overall influence degree will be described later using, for example, FIGS. 48 to 52. As a result, the output unit 903 can grasp the magnitude of the influence of the change of the data or the program indicated by the object, can easily estimate the time required to modify the data or the program, and reduce the burden. Can be planned.

The output unit 903 may output the processing result of each functional unit. As a result, the output unit 903 can notify the user of the processing result of each functional unit, and can support the management and operation of the information processing device 100, for example, updating the set value of the information processing device 100. The convenience of the information processing apparatus 100 can be improved.

(An example in which the information processing apparatus 100 generates various tables)
Next, an example in which the information processing apparatus 100 generates various tables will be described with reference to FIGS. 10 to 16. First, the description shifts to FIGS. 10 to 12, and an example of a flow chart used when generating various tables will be described.

10 to 12 are explanatory views showing an example of a flow chart. In the flow diagram 1000 of FIG. 10, an object A, an object B, an object C, an object D, an object E, an object F, and an object G are arranged. In the flow diagram 1000, for example, an arrow is arranged with the object A as the end point and the object B as the start point.

In the flow diagram 1000, for example, between the object A and the object B, the relative position of the object A is "bottom" and the relative position of the object B is "top". Here, even if the object B does not exist directly above the object A, if it exists in the range from 45 degrees diagonally upward to the right to 45 degrees diagonally upward to the left of the object A, it is treated as being "above". Next, the description proceeds to FIG.

In the flow diagram 1100 of FIG. 11, an object A, an object B, an object G, and an object H are arranged. In the flow diagram 1100, for example, an arrow is arranged with the object A as the end point and the object B as the start point. In the flow diagram 1100, for example, between the object A and the object B, the relative position of the object A is "bottom" and the relative position of the object B is "top". Next, the description proceeds to FIG.

In the flow diagram 1200 of FIG. 12, an object A, an object F, an object G, an object I, an object J, and an object K are arranged. In the flow diagram 1200, for example, an arrow is arranged with an object A as a start point and an object F as an end point. In the flow diagram 1200, for example, between the object A and the object F, the relative position of the object A is "upper" and the relative position of the object F is "lower". Next, the description shifts to FIGS. 13 to 16, and an example of determining the connection relationship between the objects in the flow diagram will be described.

13 to 16 are explanatory views showing an example of determining a connection relationship between objects. In the flow charts 1000 to 1200, the case where the object and the arrow are arranged so as to be in contact with each other has been described, but the present invention is not limited to this.

In the example of FIG. 13, the case where the object and the arrow do not touch each other will be described. In this case, the information processing apparatus 100 determines, for example, that there is a connection relationship between the object on the extension line in the direction of the start point of the arrow and the object on the extension line in the direction of the end point of the arrow.

For example, if the object A and the arrow are arranged in the arrangement state 1301, it is determined that the object A is connected as both a start point and an end point. Further, for example, in the arrangement state 1302 between the object A and the arrow, it is determined that the object A is connected as a start point but not as an end point.

Further, for example, in the case of the arrangement state 1303 between the object A and the arrow, it is determined that the object A is not connected as a start point but is connected as an end point. Next, shifting to the description of FIGS. 14 to 16, an example of determining the connection relationship between objects by various variations of connection parts will be described.

As shown in FIG. 14, the connecting component may be a straight line 1401. In this case, the connecting component shows the connection relationship between the object on the extension line in the start point direction of the straight line 1401 and the object on the extension line in the end point direction of the straight line 1401, as in FIG.

Further, the connecting component may be the key wire 1402. In this case, the connecting component connects an object on a linear extension line from the bend point on the start point side to the direction of the start point and an object on a linear extension line from the bend point on the end point side toward the end point. Show the relationship.

Further, the connecting component may have curves 1403 and 1404. In this case, the connecting component shows the connection relationship between the object on the extension line on the start point side of the curves 1403 and 1404 and the object on the extension line on the end point side of the curves 1403 and 1404. The extension lines of the curves 1403 and 1404 will be further described with reference to FIG.

As shown in FIG. 15, the extension line on the start point side of the arrow is an extension line extending in the direction of the bisector of the side on the start point side of the arrow. The extension line on the end point side of the arrow is a bisector of the side of the triangle on the end point side of the arrow and is an extension line extending in the direction passing through the apex of the triangle. Next, the description proceeds to FIG.

As shown in FIG. 16, the connecting component may be the block arrow 1601. In this case, the connecting parts are an object on the extension line extending in the direction of the bisector of the side on the start point side and an extension line on the extension line extending in the direction passing through the apex of the triangle which is the bisector of the side of the triangle on the end point side. Shows the connection relationship with the object of.

Further, the connecting component may have a block curve 1602. In this case, the connecting parts are an object on the extension line extending in the direction of the bisector of the side on the start point side and an extension line on the extension line extending in the direction passing through the apex of the triangle which is the bisector of the side of the triangle on the end point side. Shows the connection relationship with the object of.

Here, in the flow diagram, objects are arranged according to a predetermined rule, and the objects tend to be connected by arrows. Predetermined rules are, for example, design conventions. For example, there may be a rule that an arrow connecting objects up and down indicates the flow of processing, and an arrow connecting objects left and right indicates the flow of data. In this case, by creating the flow chart in a unified manner according to the rules, it is possible to improve the visibility of the flow chart and prevent description errors.

Therefore, it is desirable to make it easier to create a flow chart according to the rules, or to make it easier to understand whether the flow chart follows the rules. For example, it is desired to facilitate the creation of a flow diagram according to the criteria of the positional relationship between objects, the criteria of the positional relationship for each combination of object types, the criteria of the shape and color of objects, and the like. Therefore, the information processing apparatus 100 executes the table creation process described later in FIG. 17 and generates various tables shown in FIGS. 4 to 7, thereby specifying various criteria and supporting the creation and correction of the flow diagram. do.

Further, as flow charts are created and the number of created flow charts increases, the burden of reading information from the flow charts tends to increase. For example, if the processing content indicated by any of the objects is changed, the burden of reading from a plurality of flow diagrams which of the other processing is affected tends to increase. Therefore, the information processing apparatus 100 executes the table creation process described later in FIG. 17 and generates various tables shown in FIGS. 4 to 7, thereby specifying the order relationship between the objects and information from the flow chart. Assists in reading. Next, the description shifts to FIG.

(Table creation process procedure)
Next, an example of the table creation processing procedure executed by the information processing apparatus 100 will be described with reference to FIG. The table creation process is realized, for example, by the CPU 301 shown in FIG. 3, a storage area such as a memory 302 or a recording medium 305, and a network I / F 303.

FIG. 17 is a flowchart showing an example of the table creation processing procedure. In FIG. 17, first, the information processing apparatus 100 reads a flow chart (step S1701). Next, the information processing apparatus 100 executes the first creation process (step S1702). Then, the information processing apparatus 100 executes the second creation process (step S1703). Next, the information processing apparatus 100 executes the third creation process (step S1704). Then, the information processing apparatus 100 ends the table creation process.

(1st creation processing procedure)
Next, an example of the first creation processing procedure executed by the information processing apparatus 100 will be described with reference to FIG. The first creation process is realized, for example, by the CPU 301 shown in FIG. 3, a storage area such as a memory 302 or a recording medium 305, and a network I / F 303.

FIG. 18 is a flowchart showing an example of the first creation processing procedure. In FIG. 18, first, the information processing apparatus 100 enumerates all the objects to be the starting point and sets them in the field of the starting point of the positional relationship table 400 (step S1801). Then, the information processing apparatus 100 enumerates all the objects that become the end points, and sets them in the field of the end point of the record of the positional relationship table 400 corresponding to the object that becomes the start point having a connection relationship with the object that becomes the end point (step S1802). ..

Next, the information processing apparatus 100 sets the target of the sub-processing described later in FIG. 19 for each combination of objects having a connection relationship, and executes the sub-processing described later in FIG. 19 (step S1803). Then, the information processing apparatus 100 ends the first creation process.

(Sub-processing procedure of step S1803)
Next, an example of the sub-processing procedure of step S1803 executed by the information processing apparatus 100 will be described with reference to FIG. The sub-processing of step S1803 is realized by, for example, the CPU 301 shown in FIG. 3, a storage area such as a memory 302 or a recording medium 305, and a network I / F 303.

FIG. 19 is a flowchart showing an example of the sub-processing procedure of step S1803. In FIG. 19, first, the information processing apparatus 100 determines whether or not the start point relative position and the end point relative position are set in the record of the positional relationship table 400 in which the combination of the target objects is set (step). S1901).

Here, if it is set (step S1901: Yes), the information processing apparatus 100 shifts to the process of step S1904. On the other hand, if it is not set (step S1901: No), the information processing apparatus 100 shifts to the process of step S1902.

In step S1902, the information processing apparatus 100 sets relative position information in the fields of the relative position of the start point and the relative position of the end point of the record of the positional relationship table 400 in which the combination of the target objects is set (step S1902). Next, the information processing apparatus 100 sets 1 in the field of the number of patterns of the record of the positional relationship table 400 in which the combination of the target objects is set (step S1903). Then, the information processing apparatus 100 ends the sub-processing.

In step S1904, the information processing apparatus 100 determines whether or not the relative position information about the combination of the target objects has already been set in the record of the positional relationship table 400 in which the combination of the target objects is set. (Step S1904).

Here, if it has already been set (step S1904: Yes), the information processing apparatus 100 shifts to the process of step S1907. On the other hand, if it has not been set (step S1904: No), the information processing apparatus 100 shifts to the process of step S1905.

In step S1905, the information processing apparatus 100 copies the record of the positional relationship table 400 in which the combination of the target objects is set, and displays the relative position information in the fields of the start point relative position and the end point relative position of the copied record. Set (step S1905). Next, the information processing apparatus 100 sets 1 in the field of the number of patterns of the copied record (step S1906). Then, the information processing apparatus 100 ends the sub-processing.

In step S1907, the information processing apparatus 100 increments the value of the field of the number of patterns of the record of the positional relationship table 400 in which the combination of the target objects is set (step S1907). Then, the information processing apparatus 100 ends the sub-processing.

(Second creation processing procedure)
Next, an example of the second creation processing procedure executed by the information processing apparatus 100 will be described with reference to FIG. The second creation process is realized, for example, by the CPU 301 shown in FIG. 3, a storage area such as a memory 302 or a recording medium 305, and a network I / F 303.

FIG. 20 is a flowchart showing an example of the second creation processing procedure. In FIG. 20, first, the information processing apparatus 100 extracts an object set in the field of the start point or the end point of the record of the positional relationship table 400, and adds the record in which the extracted object is set to the influence degree table 500 (. Step S2001).

Next, the information processing apparatus 100 determines the object type for each object based on the shape and color of the object, and sets the object type field in the record of the influence degree table 500 (step S2002). Then, the information processing apparatus 100 adds a record associated with the shape and color of the object to the attribute table 700 for each object type (step S2003). Here, for the start point coefficient and the end point coefficient, for example, an initial value 1 is set.

Next, the information processing apparatus 100 sums the values of the field of the number of patterns of the record of the positional relationship table 400 set in the field of the starting point of the object for each object, and the field of the number of relative starting points of the influence degree table 500. (Step S2004). Then, the information processing apparatus 100 sums the values of the field of the number of patterns of the record of the positional relationship table 400 in which the object is set in the field of the end point for each object, and sets it in the field of the number of relative end points of the influence table 500. Set (step S2005).

Next, the information processing apparatus 100 acquires the start point coefficient and the end point coefficient from the attribute table 700, multiplies the field values of the relative start point number and the relative end point number of the influence degree table 500, respectively, and starts point influence degree and the end point. It is set in the field of influence (step S2006).

Then, the information processing apparatus 100 sets, for each object, the object set in the field of the start point of the record of the positional relationship table 400 in which the object is set in the field of the end point as the field of the end point candidate of the influence degree table 500. (Step S2007).

Further, the information processing apparatus 100 sets the object set in the end point field of the record of the positional relationship table 400 in which the object is set in the start point field as the end point candidate field of the influence degree table 500 for each object. (Step S2008). Then, the information processing apparatus 100 ends the second creation process.

(Third creation processing procedure)
Next, an example of the third creation processing procedure executed by the information processing apparatus 100 will be described with reference to FIG. 21. The third creation process is realized, for example, by the CPU 301 shown in FIG. 3, a storage area such as a memory 302 or a recording medium 305, and a network I / F 303.

FIG. 21 is a flowchart showing an example of the third creation processing procedure. In FIG. 21, first, the information processing apparatus 100 sets all the types shown in the attribute table 700 into a Y-axis element representing the object type of the object as the start point and an X-axis element representing the object type of the object as the end point. The set arrangement rule table 600 is generated (step S2101).

Next, the information processing apparatus 100 specifies the positional relationship of the objects for each combination of types based on the positional relationship table 400 and the influence degree table 500, and sets them in the fields of the arrangement rule table 600 corresponding to the combination. (Step S2102). Then, the information processing apparatus 100 ends the third creation process.

(An example in which the information processing apparatus 100 provides drawing support)
Next, an example in which the information processing apparatus 100 implements drawing support will be described with reference to FIGS. 22 and 23.

22 and 23 are explanatory views showing an example in which the information processing apparatus 100 implements drawing support. In FIG. 22, the information processing apparatus 100 displays the object A. The display destination may be, for example, the client device 201. The information processing apparatus 100 detects that an arrow to the left starting from the object A has been drawn. The information processing device 100 may detect that the operation of drawing an arrow has been performed on the client device 201.

The information processing apparatus 100 refers to the direction of the arrow and identifies a candidate object to be arranged on the left side of the object A. The information processing apparatus 100 specifies the object type "type 1" of the object A based on, for example, the influence degree table 500. Next, the information processing apparatus 100 specifies the object types "type 2" and "type 3" to be arranged on the left side when the object type "type 1" is the starting point based on the arrangement rule table 600.

Then, the information processing apparatus 100 specifies the object G having the object types "type 2" and "type 3" and arranged on the left side of the object A as a candidate based on the positional relationship table 400. Further, the information processing apparatus 100 may specify new objects of the specified object types "type 2" and "type 3" as candidates.

The information processing apparatus 100 displays the list 2200 of the identified candidates. The display destination may be, for example, the client device 201. The information processing apparatus 100 displays, for example, a list of an object G having an object type "type 3", a new object having an object type "type 2", and a new object having an object type "type 3". Next, the description shifts to FIG. 23.

In FIG. 23, the information processing apparatus 100 displays the object A. The display destination may be, for example, the client device 201. The information processing apparatus 100 detects that a downward arrow starting from the object A has been drawn. The information processing device 100 may detect that the operation of drawing an arrow has been performed on the client device 201.

The information processing apparatus 100 refers to the direction of the arrow and identifies a candidate object to be arranged under the object A. The information processing apparatus 100 specifies the object type "type 1" of the object A based on, for example, the influence degree table 500. Next, the information processing apparatus 100 specifies the object types "type 1" and "type 2" to be arranged on the lower side when the object type "type 1" is the starting point based on the arrangement rule table 600. ..

Then, based on the positional relationship table 400, the information processing apparatus 100 includes objects E, F, and H that have object types "type 1" and "type 2" and are already arranged under the object A. As a candidate. Further, the information processing apparatus 100 may specify new objects of the specified object types "type 1" and "type 2" as candidates.

The information processing apparatus 100 displays the list 2300 of the specified candidates. The display destination may be, for example, the client device 201. The information processing apparatus 100 displays, for example, a list of an object E, an object F, and an object H of the object type "type 2", a new object of the object type "type 1", and a new object of the object type "type 2". ..

As a result, the information processing apparatus 100 can easily grasp the candidate of the object to be connected to the arranged object, and can reduce the burden on creating the flow diagram. Further, since the information processing apparatus 100 displays an object that matches the criteria shown in the arrangement rule table 600 as a candidate, it is possible to easily create a flow diagram that matches the criteria, and the usefulness of the flow diagram is improved. Can be planned.

The information processing device 100 may execute the above operation contents on the client device 201 by transmitting the program defining the above operation contents to the client device 201.

(Drawing support processing procedure)
Next, an example of the drawing support processing procedure executed by the information processing apparatus 100 will be described with reference to FIGS. 24 and 25. The drawing support process is realized, for example, by the CPU 301 shown in FIG. 3, a storage area such as a memory 302 or a recording medium 305, and a network I / F 303.

24 and 25 are flowcharts showing an example of the drawing support processing procedure. In FIG. 24, first, the information processing apparatus 100 detects the selection of any object or the placement of a new object (step S2401). Next, the information processing apparatus 100 detects the direction in which the arrow is drawn starting from the selected or placed target object (step S2402).

Then, the information processing apparatus 100 determines whether or not there is an X-axis element corresponding to the Y-axis element to which the object type of the target object corresponds, based on the arrangement rule table 600 (step S2403). Here, if it exists (step S2403: Yes), the information processing apparatus 100 shifts to the process of step S2404. On the other hand, if it does not exist (step S2403: No), the information processing apparatus 100 ends the drawing support process.

In step S2404, the information processing apparatus 100 refers to the positional relationship table 400, generates and displays a list of end point candidates based on the X-axis element (step S2404). Then, the information processing apparatus 100 shifts to the process of step S2501 of FIG.

In FIG. 25, the information processing apparatus 100 detects the selection of the end point candidate (step S2501). Next, the information processing apparatus 100 determines whether or not the selected end point candidate is an existing object (step S2502).

Here, in the case of an existing object (step S2502: Yes), the information processing apparatus 100 shifts to the process of step S2503. On the other hand, when it is not an existing object (step S2502: No), the information processing apparatus 100 shifts to the process of step S2507.

In step S2503, the information processing apparatus 100 searches the positional relationship table 400 with the target object as the start point and the existing object which is the selected end point candidate as the end point, and increments the number of patterns (step S2503).

Next, the information processing apparatus 100 increments the number of relative end points corresponding to the target object and the number of relative start points corresponding to the existing object which is the selected end point candidate in the influence degree table 500 (step S2504). .. Then, the information processing apparatus 100 updates the end point influence degree and the overall influence degree corresponding to the target object (step S2505).

Next, the information processing apparatus 100 updates the start point influence degree and the overall influence degree corresponding to the existing object which is the selected end point candidate (step S2506). Then, the information processing apparatus 100 ends the drawing support process.

In step S2507, the information processing apparatus 100 adds a record to the positional relationship table 400 with the target object as the start point and the existing object which is the selected end point candidate as the end point, and the number of patterns, the start point relative position, and the end point relative position. Is set (step S2507). Here, for example, 1 is set as the number of patterns. The relative position of the start point and the relative position of the end point are set, for example, based on the positional relationship between the target object and the existing object.

Next, the information processing apparatus 100 adds a record corresponding to the existing object that is the selected end point candidate to the influence degree table 500 (step S2508). Here, for the "object type", for example, the object type of the existing object which is the selected end point candidate is set. 1 is set for the "relative start point number", and 0 is set for the "relative end point number".

Further, the "start point influence degree" and the "end point influence degree" are calculated and set from the "relative start point number", the "relative end point number", the "start point coefficient", and the "end point coefficient". With the coefficient, it is possible to weight the degree of influence according to the purpose and application of the flow chart. For the "overall influence degree", the sum of the "start point influence degree" and the "end point influence degree" is set. The target object is set for the "start point candidate". Then, the information processing apparatus 100 ends the drawing support process.

(An example in which the information processing apparatus 100 performs an error check)
Next, an example in which the information processing apparatus 100 performs an error check will be described with reference to FIG. 26.

FIG. 26 is an explanatory diagram showing an example in which the information processing apparatus 100 performs an error check. In FIG. 26, the information processing apparatus 100 displays the flow diagram 2600. The display destination may be, for example, the client device 201. The information processing apparatus 100 determines whether or not the attributes of each object in the flow diagram 2600 meet the criteria shown in the attribute information table. Further, the information processing apparatus 100 determines whether or not the positional relationship of the objects in the flow diagram 2600 conforms to the criteria shown in the arrangement rule table 600. The information processing apparatus 100 displays the determination result on the flow chart 2600.

The information processing apparatus 100 specifies the object type "type 1" of the object N, for example, based on the influence degree table 500. Next, the information processing apparatus 100 determines whether or not the shape or color of the object N matches the shape or color stored in the attribute table 700 in association with the object type "type 1". In the example of FIG. 26, the information processing apparatus 100 determines that they do not match, and displays a "convention error" in the object N as an error. The display destination may be, for example, the client device 201. The error display is, for example, changing the background color of the object, changing the line color of the object, changing the line color of the arrow, highlighting the background of the object, inserting a balloon into the object, and the like.

The information processing apparatus 100 specifies, for example, the object type "type 3" of the object C as the starting point and the object type "type 1" of the object B as the ending point based on the influence degree table 500. Further, the information processing apparatus 100 specifies the positional relationship between the object B and the object C. Next, based on the arrangement rule table 600, the information processing apparatus 100 has a positional relationship rule "from the start point" corresponding to a combination of the object type "type 3" on the start point side and the object type "type 1" on the end point side. The end point is on the left when you look at it. "

Then, the information processing apparatus 100 displays an "relative position error" as an error because the positional relationship between the object B and the object C does not match the specified rule "the end point exists on the left when viewed from the start point". Error indications include changing the background color of an object, changing the line color of an object, changing the line color of an arrow, highlighting the background of an object or arrow, inserting a balloon on an object or arrow, and so on.

As a result, the information processing apparatus 100 can easily grasp whether or not the objects and arrows in the created flow diagram match the criteria shown in the arrangement rule table 600, and the flow diagram can be modified. The burden can be reduced. Further, the information processing apparatus 100 can easily modify the flow chart so as to meet the criteria shown in the arrangement rule table 600, and can improve the usefulness of the flow chart.

The information processing apparatus 100 may update various tables when it is instructed that the location where the error is displayed is normal. The information processing device 100 may execute the above operation contents on the client device 201 by transmitting the program defining the above operation contents to the client device 201.

(Error check processing procedure)
Next, an example of an error check processing procedure executed by the information processing apparatus 100 will be described with reference to FIG. 27. The error check process is realized, for example, by the CPU 301 shown in FIG. 3, a storage area such as a memory 302 or a recording medium 305, and a network I / F 303.

FIG. 27 is a flowchart showing an example of the error check processing procedure. In FIG. 27, first, the information processing apparatus 100 reads the flow chart (step S2701). Next, the information processing apparatus 100 sequentially selects objects arranged in the flow chart, sets them as targets for the sub-processing described later in FIG. 28, and executes the sub-processing described in FIG. 28 (step S2702). Then, the information processing apparatus 100 ends the error check process.

(Sub-processing procedure of step S2702)
Next, an example of the sub-processing procedure of step S2702 executed by the information processing apparatus 100 will be described with reference to FIG. 28. The sub-processing of step S2702 is realized by, for example, the CPU 301 shown in FIG. 3, a storage area such as a memory 302 or a recording medium 305, and a network I / F 303.

FIG. 28 is a flowchart showing an example of the sub-processing procedure of step S2702. In FIG. 28, the information processing apparatus 100 determines whether or not the shape and color of the target object are present in the attribute table 700 (step S2801).

Here, if it exists (step S2801: Yes), the information processing apparatus 100 shifts to the process of step S2803. On the other hand, if it does not exist (step S2801: No), the information processing apparatus 100 shifts to the process of step S2802.

In step S2802, the information processing apparatus 100 displays the object as an error as a "convention error" (step S2802). Then, the information processing apparatus 100 ends the sub-processing.

In step S2803, if the target object is the end point, the information processing apparatus 100 determines whether or not the positional relationship between the target object and the target object corresponding to the target object exists in the arrangement rule table 600. Is determined (step S2803).

Here, if it exists (step S2803: Yes), the information processing apparatus 100 ends the sub-processing. On the other hand, if it does not exist (step S2803: No), the information processing apparatus 100 shifts to the process of step S2804.

In step S2804, the information processing apparatus 100 displays an error of the target object, the object serving as the starting point corresponding to the target object, and the arrow connecting the objects as a "relative position error" (step S2804). Then, the information processing apparatus 100 ends the sub-processing.

(An example in which the information processing device 100 displays the range of influence)
Next, an example in which the information processing apparatus 100 displays the influence range will be described with reference to FIG. 29.

FIG. 29 is an explanatory diagram showing an example in which the information processing apparatus 100 displays the influence range. In FIG. 29, the information processing apparatus 100 displays the flow diagram 2901. The display destination may be, for example, the client device 201. When the information processing apparatus 100 specifies the object A in the flow diagram 2901 and detects that the menu display operation has been performed, the information processing apparatus 100 displays the menu in the flow diagram 2901. The object can be specified automatically by focusing the object, clicking an item in the context menu by focusing, or clicking an item in the context menu by right-clicking.

The information processing apparatus 100 detects that the influence range display on the menu is selected. When the information processing apparatus 100 detects that the influence range display is selected, it acquires the start point candidate "BDIJ" and the end point candidate "EFGHK" corresponding to the designated object A based on the influence degree table 500. The information processing apparatus 100 lists the start point candidate "BDIJ" and the end point candidate "EFGHK" as the influence range of the object A. The display destination may be, for example, the client device 201.

As a result, the information processing apparatus 100 can grasp the range of the data or the program affected by the change of the data or the program indicated by the object, and can reduce the burden of modifying the data or the program. can.

For example, modifications may be made to increase the input variables in the program indicated by the object. In this case, since the information processing apparatus 100 displays the start point candidates, it is possible to grasp the program indicated by another object which may be related to the input variable in the program indicated by the object, which is the order immediately before the object. can. As a result, the information processing apparatus 100 can easily prevent inconsistencies between programs when modifications are made to increase the input variables in the program indicated by the object.

Similarly, for example, modifications may be made to reduce the output variables in the program indicated by the object. In this case, since the information processing apparatus 100 displays the end point candidates, it is the order immediately after the object, and it is possible to grasp the program indicated by another object that may be related to the output variable in the program indicated by the object. can. As a result, the information processing apparatus 100 can easily prevent inconsistencies between programs when a modification is made to reduce the output variables in the program indicated by the object.

The information processing device 100 may execute the above operation contents on the client device 201 by transmitting the program defining the above operation contents to the client device 201.

(Impact range display processing procedure)
Next, an example of the influence range display processing procedure executed by the information processing apparatus 100 will be described with reference to FIG. The influence range display process is realized, for example, by the CPU 301 shown in FIG. 3, a storage area such as a memory 302 or a recording medium 305, and a network I / F 303.

FIG. 30 is a flowchart showing an example of the influence range display processing procedure. In FIG. 30, first, the information processing apparatus 100 accepts the selection of any object and accepts the influence range display request of the selected object (step S3001).

Next, the information processing apparatus 100 searches the record of the selected object from the influence degree table 500 (step S3002). Then, the information processing apparatus 100 displays a list of the information set in the fields of the start point candidate and the end point candidate of the searched record on the screen (step S3003). After that, the information processing apparatus 100 ends the influence range display process.

(An example in which the information processing apparatus 100 provides correction support)
Next, an example in which the information processing apparatus 100 implements correction support will be described with reference to FIGS. 31 to 40. For example, first, with reference to FIGS. 31 to 34, an example of implementing correction support when moving an object will be described.

31 to 34 are explanatory views showing an example of performing correction support when the object is moved. In FIG. 31, the information processing apparatus 100 displays the flow diagram 3101. The display destination may be, for example, the client device 201. The information processing apparatus 100 detects the drag movement of the object K in the flow diagram 3101. After the drag movement, the information processing apparatus 100 displays the flow diagram 3102. The information processing apparatus 100 updates the positional relationship table 400 because the positional relationship with the other object A before and after the drag movement of the object K matches the criteria shown by the arrangement rule table 600. Next, the description proceeds to FIG. 32.

In FIG. 32, the information processing apparatus 100 identifies the record 3201 of the positional relationship table 400 corresponding to the positional relationship between the object K and the object A before the drag movement, and decrements the number of patterns “1” of the specified record 3201. .. Since the number of patterns becomes "0", the information processing apparatus 100 deletes the specified record 3201. The information processing apparatus 100 generates a record 3202 corresponding to the positional relationship between the object K and the object A after dragging and moving, and adds the record 3202 to the positional relationship table 400. Next, the description shifts to FIG. 33, and an example of dragging and moving an object different from that of FIG. 31 will be described.

In FIG. 33, the information processing apparatus 100 displays the flow diagram 3301. The display destination may be, for example, the client device 201. The information processing apparatus 100 detects the drag movement of the object C in the flow diagram 3301. After the drag movement, the information processing apparatus 100 displays the flow diagram 3302.

Here, the information processing apparatus 100 determines that the positional relationship between the object C and the other object B after the drag movement does not meet the criteria shown by the arrangement rule table 600. Therefore, the information processing apparatus 100 displays an "relative position error" as an error regarding the positional relationship between the object B and the object C.

Error indications include changing the background color of an object, changing the line color of an object, changing the line color of an arrow, highlighting the background of an object or arrow, inserting a balloon on an object or arrow, and so on. The information processing apparatus 100 may cancel the drag movement instead of displaying the error. Next, the description shifts to FIG. 34, and an example of dragging and moving an object different from those in FIGS. 31 and 33 will be described.

In FIG. 34, the information processing apparatus 100 displays the flow diagram 3401. The display destination may be, for example, the client device 201. In the flow chart 3401, the information processing apparatus 100 displays an "relative position error" as an error regarding the connection relationship between the object B and the object C. The information processing apparatus 100 detects the drag movement of the object C in the flow diagram 3401. After the drag movement, the information processing apparatus 100 displays the flow diagram 3402.

Here, the information processing apparatus 100 determines that the positional relationship between the object C and the other object B after the drag movement of the object C matches the reference indicated by the arrangement rule table 600. Therefore, the information processing apparatus 100 cancels the "relative position error" regarding the connection relationship between the object B and the object C in the flow diagram 3402.

As a result, the information processing apparatus 100 can easily grasp whether or not the object or the arrow matches the criteria shown by the arrangement rule table 600 when the flow diagram is created or modified, and the flow diagram can be created or modified. It is possible to reduce the burden of correction. Further, the information processing apparatus 100 can easily create or modify the flow diagram so as to meet the criteria shown in the arrangement rule table 600, thereby improving the usefulness of the flow diagram. be able to.

The information processing apparatus 100 may update various tables when it is instructed that the location where the error is displayed is normal. The information processing device 100 may execute the above operation contents on the client device 201 by transmitting the program defining the above operation contents to the client device 201. Next, the description shifts to FIGS. 35 to 37, and an example of implementing correction support when the object is changed will be described.

35 to 37 are explanatory views showing an example of performing correction support when the object is changed. In FIG. 35, the information processing apparatus 100 displays the flow diagram 3501. The display destination may be, for example, the client device 201. The information processing apparatus 100 specifies the object E of the flow diagram 3501 and performs a menu display operation, and detects that the object change on the menu is selected. When the information processing apparatus 100 detects that the object change is selected, the information processing apparatus 100 displays the flow diagram 3502.

Here, the information processing apparatus 100 refers to the arrangement rule table 600 and the influence degree table 500, and is a candidate for an object that can be changed from the object E based on the positional relationship between the designated object E and another object A. To identify. The information processing apparatus 100 specifies, for example, an object E, an object F, and an object H. The information processing apparatus 100 displays a list of specified changeable object candidates in the flow diagram 3502.

The information processing apparatus 100 accepts the selection of any of the listed object candidates. The information processing apparatus 100 accepts, for example, the selection of the object H. The information processing apparatus 100 changes the object E to the selected object. The information processing apparatus 100 displays the flow diagram 3503 after the change. Next, the description shifts to FIGS. 36 and 37, and an example of updating various tables in response to changes in objects will be described.

In FIG. 36, the information processing apparatus 100 identifies the record 3601 stored in the positional relationship table 400 in association with the positional relationship between the object E and the object A before the change, and decrements the number of patterns. Since the number of patterns is "0", the information processing apparatus 100 deletes the record 3601.

Further, the information processing apparatus 100 identifies the record 3602 stored in the positional relationship table 400 in association with the positional relationship between the changed object H and the object A, and increments the number of patterns. If there is no record corresponding to the positional relationship between the changed object H and the object A, the information processing apparatus 100 adds the record to the positional relationship table 400. Next, the description proceeds to FIG. 37.

In FIG. 37, since the object E has been changed, the information processing apparatus 100 identifies the record 3701 stored in the influence degree table 500 in association with the object E. Based on the record 3701, the information processing apparatus 100 determines that the object E is not arranged in the existing flow diagram, and deletes the record 3701.

Further, the information processing apparatus 100 identifies and updates the changed object H and the records 3702 and 3703 stored in the influence degree table 500 in association with the object A. Next, the description shifts to FIGS. 38 to 40, and an example of performing correction support when the arrow is changed will be described.

38 to 40 are explanatory views showing an example of performing correction support when the arrow is changed. In FIG. 38, the information processing apparatus 100 displays the flow diagram 3801. The display destination may be, for example, the client device 201. The drag movement of the end point of the arrow 3810 in the flow diagram 3801 is detected.

The information processing apparatus 100 displays the flow chart 3802 if the positional relationship of the objects connected by the arrows 3810 after the drag movement matches the reference indicated by the arrangement rule table 600. On the other hand, if the positional relationship of the objects connected by the arrow 3810 after the drag movement does not match the criteria shown by the arrangement rule table 600, the information processing apparatus 100 displays the flow diagram 3801 and cancels the drag movement. The information processing apparatus 100 may display an error without canceling the drag movement. Error indications include changing the background color of an object, changing the line color of an object, changing the line color of an arrow, highlighting the background of an object or arrow, inserting a balloon on an object or arrow, and so on.

Here, it is assumed that the information processing apparatus 100 displays the flow diagram 3802 because the positional relationship of the objects connected by the arrow 3810 after the drag movement matches the reference indicated by the arrangement rule table 600. Next, the description shifts to FIGS. 39 and 40, and an example of updating various tables according to the change of the arrow 3810 will be described.

In FIG. 39, the information processing apparatus 100 identifies the record 3901 stored in the positional relationship table 400 in association with the positional relationship between the object B and the object C connected by the arrow 3810 before the change, and decrements the number of patterns. do. Since the number of patterns is "0", the information processing apparatus 100 deletes the record 3901. Further, the information processing apparatus 100 adds the record 3902 corresponding to the positional relationship between the object A and the object C connected by the changed arrow 3810 to the positional relationship table 400. Next, the description shifts to FIG. 40.

In FIG. 40, the information processing apparatus 100 identifies and updates the records 4001 and 4002 stored in the influence degree table 500 in association with the object A and the object C connected by the changed arrow 3810.

As a result, the information processing apparatus 100 can easily grasp whether or not the object or the arrow in the created flow diagram is changed to meet the criteria shown by the arrangement rule table 600, and the flow diagram can be easily grasped. It is possible to reduce the burden of correction. Further, the information processing apparatus 100 can easily modify the flow chart so as to meet the criteria shown in the arrangement rule table 600, and can improve the usefulness of the flow chart.

The information processing apparatus 100 may update various tables when it is instructed that the location where the error is displayed is normal. The information processing device 100 may execute the above operation contents on the client device 201 by transmitting the program defining the above operation contents to the client device 201.

(Movement check processing procedure)
Next, an example of the movement check processing procedure executed by the information processing apparatus 100 will be described with reference to FIGS. 41 and 42. The movement check process is realized, for example, by the CPU 301 shown in FIG. 3, a storage area such as a memory 302 or a recording medium 305, and a network I / F 303.

41 and 42 are flowcharts showing an example of the movement check processing procedure. In FIG. 41, first, the information processing apparatus 100 detects the drag of the object (step S4101). Next, the information processing apparatus 100 detects the direction in which the object is moved (step S4102).

Then, the information processing apparatus 100 determines whether or not the positional relationship between the moved object and the object having a connection relationship with the moved object is the positional relationship existing in the arrangement rule table 600 (step S4103).

The information processing apparatus 100 specifies, for example, a combination of the object type indicated by the Y-axis element or the X-axis element of the arrangement rule table 600 and the relative position corresponding to the object type that becomes the start point or the end point connected to the moved object. do. Then, if the combination of the object type and the relative position of the moved object matches the specified combination, the information processing apparatus 100 determines that the positional relationship exists in the arrangement rule table 600.

Here, when the positional relationship exists in the arrangement rule table 600 (step S4103: Yes), the information processing apparatus 100 shifts to the process of step S4105. On the other hand, when the positional relationship does not exist in the arrangement rule table 600 (step S4103: No), the information processing apparatus 100 shifts to the process of step S4104.

In step S4104, the information processing apparatus 100 displays an arrow indicating a connection relationship between objects having a positional relationship that does not exist in the arrangement rule table 600 as a "relative position error" (step S4104). Then, the information processing apparatus 100 ends the movement check process.

In step S4105, the information processing apparatus 100 determines whether or not the state before the movement is a "relative position error" (step S4105). Here, if it is not a "relative position error" (step S4105: No), the information processing apparatus 100 cancels the "relative position error" (step S4106). Then, the information processing apparatus 100 ends the movement check process.

On the other hand, if there is a "relative position error" (step S4105: Yes), the process proceeds to step S4201 of FIG. 42.

In FIG. 42, in the information processing apparatus 100, based on the positional relationship table 400, is the number of patterns corresponding to the positional relationship between the moved object and the moved object and the object having a connection relationship before the movement of 1? It is determined whether or not (step S4201).

Here, when the number of patterns is 1 (step S4201: Yes), the information processing apparatus 100 shifts to the process of step S4203. On the other hand, when the number of patterns is not 1 (step S4201: No), the information processing apparatus 100 shifts to the process of step S4202.

In step S4202, the information processing apparatus 100 decrements the number of patterns (step S4202). Then, the information processing apparatus 100 shifts to the process of step S4204.

In step S4203, the information processing apparatus 100 deletes a record having a pattern number of 1 (step S4203). Then, the information processing apparatus 100 shifts to the process of step S4204.

In step S4204, the information processing apparatus 100 determines whether or not there is a record corresponding to the positional relationship between the moved object and the moved object and the object having a connection relationship based on the positional relationship table 400. Determination (step S4204).

Here, if there is a record (step S4204: Yes), the information processing apparatus 100 shifts to the process of step S4206. On the other hand, when there is no record (step S4204: No), the information processing apparatus 100 shifts to the process of step S4205.

In step S4205, the information processing apparatus 100 adds a record corresponding to the moved object and the object having a connection relationship with the moved object to the positional relationship table 400 (step S4205). Here, for example, 1 is set as the number of patterns. The relative position of the start point and the relative position of the end point are set based on the positional relationship after the movement. Then, the information processing apparatus 100 ends the movement check process.

In step S4206, the information processing apparatus 100 increments the number of patterns (step S4206). Then, the information processing apparatus 100 ends the movement check process.

(Change check processing procedure)
Next, an example of the change check processing procedure executed by the information processing apparatus 100 will be described with reference to FIG. 43. The change check process is realized, for example, by the CPU 301 shown in FIG. 3, a storage area such as a memory 302 or a recording medium 305, and a network I / F 303.

FIG. 43 is a flowchart showing an example of the change check processing procedure. In FIG. 43, first, the information processing apparatus 100 detects the selection of any object and the change of the selected object (step S4301).

Next, the information processing apparatus 100 extracts the object type of the changeable object from the positional relationship between the selected object and the object having a connection relationship with the selected object based on the arrangement rule table 600 (step S4302). ). Then, the information processing apparatus 100 extracts and displays a list of objects corresponding to the extracted object types based on the influence degree table 500 (step S4303).

Next, the information processing apparatus 100 accepts the selection of the changed object from the listed objects (step S4304). Then, the information processing apparatus 100 sets each combination of the changed object and the object having a connection relationship with the changed object as the target of the sub-processing described later in FIG. 44, and the sub-processing described later in FIG. 44. Is executed (step S4305).

Next, the information processing apparatus 100 determines whether or not the object before the change is a "convention error" (step S4306). Here, if there is a "convention error" (step S4306: Yes), the information processing apparatus 100 shifts to the process of step S4308. On the other hand, if it is not a "convention error" (step S4306: No), the information processing apparatus 100 shifts to the process of step S4307.

In step S4307, the information processing apparatus 100 cancels the "convention error" (step S4307). Then, the information processing apparatus 100 shifts to the process of step S4310.

In step S4308, the information processing apparatus 100 determines whether the "relative start point number" and "relative end point number" are "0" and "1", or "1" and "0" in the object before the change. For example, the record corresponding to the object before the change is deleted from the influence degree table 500 (step S4308).

Next, the information processing apparatus 100 sets each combination of the object before the change and the object having a connection relationship with the object before the change as the target of the sub-processing described later in FIG. 45, and will be described later in FIG. 45. Sub-processing is executed (step S4309). Then, the information processing apparatus 100 shifts to the process of step S4310.

In step S4310, the information processing apparatus 100 updates the influence degree table 500 for the changed object and the object having a connection relationship with the changed object (step S4310). The information processing apparatus 100 is, for example, "relative start point number", "relative end point number", "start point influence degree", "end point influence degree", "overall influence degree", "start point candidate", "end point" of the influence degree table 500. Update "candidates". Then, the information processing apparatus 100 ends the change check process.

(Sub-processing procedure of step S4305)
Next, an example of the sub-processing procedure of step S4305 executed by the information processing apparatus 100 will be described with reference to FIG. 44. The sub-processing of step S4305 is realized, for example, by the CPU 301 shown in FIG. 3, a storage area such as a memory 302 or a recording medium 305, and a network I / F 303.

FIG. 44 is a flowchart showing an example of the sub-processing procedure of step S4305. In FIG. 44, first, the information processing apparatus 100 determines whether or not there is a record corresponding to the combination of the target objects in the positional relationship table 400 (step S4401).

Here, when there is a record (step S4401: Yes), the information processing apparatus 100 shifts to the process of step S4403. On the other hand, when there is no record (step S4401: No), the information processing apparatus 100 shifts to the process of step S4402.

In step S4402, the information processing apparatus 100 adds a record corresponding to the combination of the target objects to the positional relationship table 400 (step S4402). Here, for example, 1 is set as the number of patterns. The relative position of the start point and the relative position of the end point are set based on the positional relationship after the movement. Then, the information processing apparatus 100 ends the sub-processing.

In step S4403, the information processing apparatus 100 increments the number of patterns (step S4403). Then, the information processing apparatus 100 ends the sub-processing.

(Sub-processing procedure of step S4309)
Next, an example of the sub-processing procedure of step S4309 executed by the information processing apparatus 100 will be described with reference to FIG. 45. The sub-processing of step S4309 is realized, for example, by the CPU 301 shown in FIG. 3, a storage area such as a memory 302 or a recording medium 305, and a network I / F 303.

FIG. 45 is a flowchart showing an example of the sub-processing procedure of step S4309. In FIG. 45, first, the information processing apparatus 100 determines whether or not the number of patterns corresponding to the positional relationship of the combination of the target objects is 1 based on the positional relationship table 400 (step S4501).

Here, when the number of patterns is 1 (step S4501: Yes), the information processing apparatus 100 shifts to the process of step S4503. On the other hand, when the number of patterns is not 1 (step S4501: No), the information processing apparatus 100 shifts to the process of step S4502.

In step S4502, the information processing apparatus 100 decrements the number of patterns (step S4502). Then, the information processing apparatus 100 ends the sub-processing.

In step S4503, the information processing apparatus 100 deletes a record having a pattern number of 1 (step S4503). Then, the information processing apparatus 100 ends the sub-processing.

(Arrow change check processing procedure)
Next, an example of the arrow change check processing procedure executed by the information processing apparatus 100 will be described with reference to FIGS. 46 and 47. The arrow change check process is realized, for example, by the CPU 301 shown in FIG. 3, a storage area such as a memory 302 or a recording medium 305, and a network I / F 303.

46 and 47 are flowcharts showing an example of the arrow change check processing procedure. In FIG. 46, first, the information processing apparatus 100 detects the selection of one of the arrows and the change of the selected arrow (step S4601). Next, the information processing apparatus 100 detects a change in the object that becomes the start point or the object that becomes the end point of the arrow (step S4602).

Then, the information processing apparatus 100 determines, based on the arrangement rule table 600, whether or not the positional relationship of the combination of objects having a connection relationship with the changed arrow exists in the arrangement rule table 600 (step S4603). .. In the information processing apparatus 100, for example, the relative positions of the start point object and the end point object that are connected by the changed arrow match the relative positions indicated by the Y-axis element and the X-axis element of the arrangement rule table 600. If so, it is determined that it exists in the arrangement rule table 600.

Here, if it exists in the arrangement rule table 600 (step S4603: Yes), the information processing apparatus 100 shifts to the process of step S4605. On the other hand, if it does not exist in the arrangement rule table 600 (step S4603: No), the information processing apparatus 100 shifts to the process of step S4604.

In step S4604, the information processing apparatus 100 restores the connection relationship indicated by the arrow (step S4604). Then, the information processing apparatus 100 ends the arrow change check process.

In step S4605, the information processing apparatus 100 determines whether or not the number of patterns corresponding to the positional relationship of the combination of objects having a connection relationship is 1 by the arrow after the change (step S4605). Here, when the number of patterns is 1 (step S4605: Yes), the information processing apparatus 100 shifts to the process of step S4607. On the other hand, when the number of patterns is not 1 (step S4605: No), the information processing apparatus 100 shifts to the process of step S4606.

In step S4606, the information processing apparatus 100 decrements the number of patterns (step S4606). Then, the information processing apparatus 100 shifts to the process of step S4701 of FIG. 47.

In step S4607, the information processing apparatus 100 deletes a record having a pattern number of 1 (step S4607). Then, the information processing apparatus 100 shifts to the process of step S4701 of FIG. 47.

In FIG. 47, the information processing apparatus 100 determines whether or not a record corresponding to the combination of objects having a connection relationship exists in the positional relationship table 400 by the arrow after the change (step S4701). The information processing apparatus 100 has, for example, a record in the positional relationship table 400 whose start point or end point is an object newly connected by an arrow after the change and whose end point or start point is an object commonly connected before and after the change. Determine whether or not to do so.

Here, if it exists in the positional relationship table 400 (step S4701: Yes), the information processing apparatus 100 shifts to the process of step S4703. On the other hand, if it does not exist in the positional relationship table 400 (step S4701: No), the information processing apparatus 100 shifts to the process of step S4702.

In step S4702, the information processing apparatus 100 adds a record corresponding to the combination of objects having a connection relationship with the changed arrow to the positional relationship table 400 (step S4702). Then, the information processing apparatus 100 shifts to the process of step S4704.

In step S4703, the information processing apparatus 100 increments the number of patterns (step S4703). Then, the information processing apparatus 100 shifts to the process of step S4704.

In step S4704, the information processing apparatus 100 updates the record corresponding to the original object connected to the arrow before the change in the influence degree table 500 (step S4704). The information processing apparatus 100 decrements the "relative end point number" or "relative start point number", updates the "end point influence degree" or "start point influence degree", and updates the "overall influence degree". .. Further, the information processing apparatus 100 deletes, for example, the object connected by the arrow before the change from the "end point candidate" or the "start point candidate".

Next, the information processing apparatus 100 updates the record corresponding to the new object connected to the arrow after the change in the influence degree table 500 (step S4705). For example, the information processing apparatus 100 increments the "relative end point number" or "relative start point number", updates the "end point influence degree" or "start point influence degree", and updates the "overall influence degree". .. Further, the information processing apparatus 100 adds an object commonly connected to the arrow before and after the change to the "end point candidate" or the "start point candidate".

Then, the information processing apparatus 100 updates the record corresponding to the common object commonly connected to the arrow before and after the change in the influence degree table 500 (step S4706). The information processing apparatus 100 updates, for example, the "end point influence degree" or the "start point influence degree", and updates the "overall influence degree". Further, the information processing apparatus 100 adds an object newly connected to the arrow to, for example, the "end point candidate" or the "start point candidate".

Next, if the original object, the new object, and the common object are "convention errors", the information processing apparatus 100 cancels the "convention error" (step S4707). Then, the information processing apparatus 100 ends the arrow change check process.

(An example in which the information processing apparatus 100 displays the degree of influence)
Next, an example in which the information processing apparatus 100 performs the influence degree display will be described with reference to FIG. 48.

FIG. 48 is an explanatory diagram showing an example in which the information processing apparatus 100 implements the influence degree display. In FIG. 48, the information processing apparatus 100 displays the flow diagram 4801. The display destination may be, for example, the client device 201. The information processing apparatus 100 detects that the menu display operation is performed in the flow diagram 4801 and the "impact degree display (entire DB)" on the menu is selected. When the information processing apparatus 100 detects that the "impact degree display (entire DB)" is selected, the "object", "object type", "start point influence degree", "end point influence degree" of the influence degree table 500, Extract the "overall impact".

The information processing apparatus 100 displays a list of extracted information 4802. Further, the information processing apparatus 100 displays a graph 4803 including a bar graph of the start point influence degree, a bar graph of the end point influence degree, and a bar graph of the total influence degree for each object based on the extracted information. Further, the information processing apparatus 100 displays a stacked bar graph 4804 of the start point influence degree, the end point influence degree, and the total influence degree for each object based on the extracted information.

As a result, the information processing apparatus 100 can grasp the degree of influence of the change of the data or the program indicated by the object, can estimate the burden of modifying the data or the program, and can make a modification plan of the data or the program. Can be created. The information processing apparatus 100 can estimate, for example, the time required for modifying data and programs, the required amount of money, and the like.

The information processing apparatus 100 can, for example, estimate the burden when a modification for increasing the input variable in the program indicated by the object is performed, and can create a modification plan. Similarly, the information processing apparatus 100 can estimate the burden when a modification for reducing the output variable in the program indicated by the object is performed, and can create a modification plan.

Here, the case where the information processing apparatus 100 displays the "object", "object type", "start point influence degree", "end point influence degree", and "overall influence degree" in the entire influence degree table 500 has been described. , Not limited to this. For example, the information processing apparatus 100 displays "object", "object type", "start point influence degree", "end point influence degree", and "overall influence degree" for one or more objects in the influence degree table 500. May be done.

Further, the information processing apparatus 100 may display "start point influence degree", "end point influence degree", "overall influence degree", etc. other than the bar graph. The information processing apparatus 100 may list and display the "start point influence degree", "end point influence degree", and "overall influence degree". The information processing device 100 may execute the above operation contents on the client device 201 by transmitting the program defining the above operation contents to the client device 201.

(Independent impact display processing procedure)
Next, an example of the single influence degree display processing procedure executed by the information processing apparatus 100 will be described with reference to FIG. 49. The single influence degree display process is realized, for example, by the CPU 301 shown in FIG. 3, a storage area such as a memory 302 or a recording medium 305, and a network I / F 303.

FIG. 49 is a flowchart showing an example of the single influence degree display processing procedure. In FIG. 49, first, the information processing apparatus 100 accepts the selection of any object and accepts the influence degree display request of the selected object (step S4901). Next, the information processing apparatus 100 searches for a record corresponding to the object selected from the influence degree table 500 (step S4902).

Then, the information processing apparatus 100 determines whether or not a record corresponding to the selected object exists (step S4903). Here, when the record exists (step S4903: Yes), the information processing apparatus 100 shifts to the process of step S4905. On the other hand, when the record does not exist (step S4903: No), the information processing apparatus 100 shifts to the process of step S4904.

In step S4904, the information processing apparatus 100 displays the object as an error as a "convention error" (step S4904). Then, the information processing apparatus 100 ends the single influence degree display process.

In step S4905, the information processing apparatus 100 displays the "start point influence degree", "end point influence degree", and "overall influence degree" corresponding to the selected object (step S4905). Next, the information processing apparatus 100 graphs and displays the "start point influence degree", "end point influence degree", and "overall influence degree" corresponding to the selected object (step S4906).

The information processing apparatus 100 is, for example, a bar graph of the start point influence degree for each object, a bar graph of the end point influence degree for each object, a bar graph of the overall influence degree for each object, a start point influence degree for each object, an end point influence degree, and an overall influence degree. Display a stacked bar graph. Then, the information processing apparatus 100 ends the single influence degree display process.

(Multiple impact display processing procedure)
Next, an example of a plurality of influence degree display processing procedure executed by the information processing apparatus 100 will be described with reference to FIG. 50. The multiple influence degree display process is realized, for example, by the CPU 301 shown in FIG. 3, a storage area such as a memory 302 or a recording medium 305, and a network I / F 303.

FIG. 50 is a flowchart showing an example of a plurality of influence degree display processing procedure. In FIG. 50, first, the information processing apparatus 100 accepts the selection of a plurality of objects and accepts the influence degree display request of the selected plurality of objects (step S5001). Here, the selection of a plurality of objects may be the selection in the flow diagram unit.

Next, the information processing apparatus 100 searches for a record corresponding to each object of the plurality of objects selected from the influence degree table 500 (step S5002). Then, the information processing apparatus 100 sequentially selects an object from the selected plurality of objects, sets the object as the target of the sub-processing described later in FIG. 51, and executes the sub-processing described later in FIG. 51 (step S5003). ..

Next, the information processing apparatus 100 displays "object", "object type", "start point influence degree", "end point influence degree", and "overall influence degree" corresponding to each object of the selected plurality of objects. (Step S5004). Then, the information processing apparatus 100 graphs the "object", "object type", "start point influence degree", "end point influence degree", and "overall influence degree" corresponding to each object of the selected plurality of objects. Is displayed (step S5005).

The information processing apparatus 100 is, for example, a bar graph of the start point influence degree for each object, a bar graph of the end point influence degree for each object, a bar graph of the overall influence degree for each object, a start point influence degree for each object, an end point influence degree, and an overall influence degree. Display a stacked bar graph. Then, the information processing apparatus 100 ends the plurality of influence degree display processes.

(Sub-processing procedure of step S5003)
Next, an example of the sub-processing procedure of step S5003 executed by the information processing apparatus 100 will be described with reference to FIG. 51. The sub-processing of step S5003 is realized, for example, by the CPU 301 shown in FIG. 3, a storage area such as a memory 302 or a recording medium 305, and a network I / F 303.

FIG. 51 is a flowchart showing an example of the sub-processing procedure of step S5003. In FIG. 51, the information processing apparatus 100 determines whether or not a record corresponding to the target object exists (step S5101). Here, when the record exists (step S5101: Yes), the information processing apparatus 100 shifts to the process of step S5103. On the other hand, when the record does not exist (step S5101: No), the information processing apparatus 100 shifts to the process of step S5102.

In step S5102, the information processing apparatus 100 displays the target object as a "convention error" (step S5102). Then, the information processing apparatus 100 ends the sub-processing.

In step S5103, the information processing apparatus 100 temporarily stores the "object", "object type", "start point influence degree", "end point influence degree", and "overall influence degree" corresponding to the target object (step S5103). .. Then, the information processing apparatus 100 ends the sub-processing.

(Overall impact display processing procedure)
Next, an example of the overall influence degree display processing procedure executed by the information processing apparatus 100 will be described with reference to FIG. 52. The overall influence degree display process is realized, for example, by the CPU 301 shown in FIG. 3, a storage area such as a memory 302 or a recording medium 305, and a network I / F 303.

FIG. 52 is a flowchart showing an example of the overall influence degree display processing procedure. In FIG. 52, first, the information processing apparatus 100 receives the entire influence degree display request (step S5201). Next, the information processing apparatus 100 displays the "object", "object type", "start point impact", "end point impact", and "overall impact" set in the impact table 500 for each object. (Step S5202).

Then, the information processing apparatus 100 graphs the "object", "object type", "start point influence degree", "end point influence degree", and "overall influence degree" set in the influence degree table 500 for each object. Display (step S5203). The information processing apparatus 100 is, for example, a bar graph of the start point influence degree for each object, a bar graph of the end point influence degree for each object, a bar graph of the overall influence degree for each object, a start point influence degree for each object, an end point influence degree, and an overall influence degree. Display a stacked bar graph. Then, the information processing apparatus 100 ends the overall influence degree display process.

As described above, according to the information processing apparatus, it is possible to generate order information indicating the order relationship between parts for each combination of two parts having a connection relationship based on a plurality of drawings. .. According to the information processing apparatus, based on the generated order information, it is possible to output information about at least one of the parts ordered immediately before the specified part and the parts ordered immediately after the specified part. As a result, the information processing apparatus can easily grasp the parts affected by the designated parts without checking the drawings.

According to the information processing apparatus, a component indicating data or a program can be used. As a result, the information processing apparatus can easily grasp the range of influence of the component indicating the data or the program.

According to the information processing apparatus, it is possible to generate positional relationship information indicating the positional relationship of parts in association with each combination of two types of components having a connection relationship based on a plurality of drawings. According to the information processing device, when a connecting part indicating any part of a predetermined drawing as a start point or an ending point is placed, the direction of the placed connecting part is referred to and based on the generated positional relationship information. , Information about the part connected to any part can be output. As a result, the information processing apparatus can easily grasp the candidates of the parts to be connected to the arranged parts, and can reduce the burden of creating the drawing.

According to the information processing apparatus, it is possible to determine whether or not the positional relationship between two components having a connection relationship in a predetermined drawing is included in the positional relationship indicated by the generated positional relationship information. According to the information processing device, the determination result can be output. As a result, the information processing apparatus can easily grasp whether or not the positional relationship between the parts conforms to the standard, and can reduce the burden of modifying the drawing.

According to the information processing apparatus, it is possible to generate attribute information indicating the attributes of parts in association with each other for each type of parts based on a plurality of drawings. According to the information processing apparatus, it is possible to determine whether or not the attribute of any part of a predetermined drawing is included in the attribute corresponding to the type of any part based on the generated attribute information. can. According to the information processing device, the determination result can be output. As a result, the information processing apparatus can easily grasp whether or not the attributes of the parts meet the criteria, and can reduce the burden of modifying the drawings.

According to the information processing apparatus, when one of the two parts having a connection relationship in a predetermined drawing is moved, the positional relationship between the two parts after the movement is the position indicated by the generated positional relationship information. It is possible to determine whether or not it is included in the relationship. According to the information processing device, the determination result can be output. As a result, the information processing apparatus 100 can easily grasp whether or not the parts and arrows meet a predetermined standard at the time of creating or modifying the drawing, and the burden on creating or modifying the drawing can be reduced. Can be achieved.

According to the information processing apparatus, when changing one part of two parts having a connection relationship in a predetermined drawing, it is possible to output information about the part connected to the other part. As a result, the information processing apparatus 100 can easily arrange parts that meet a predetermined standard when creating or modifying a drawing, and can reduce the burden of creating or modifying the drawing.

According to the information processing apparatus, when the connection relationship by any of the connection parts in the predetermined drawing is changed, the positional relationship of the two parts showing the connection relationship by any of the connection parts after the change is the generated positional relationship. It is possible to determine whether or not the information is included in the positional relationship indicated by the information. According to the information processing device, the determination result can be output. As a result, the information processing apparatus 100 can easily grasp whether or not the parts and arrows meet a predetermined standard at the time of creating or modifying the drawing, and the burden on creating or modifying the drawing can be reduced. Can be achieved.

According to the information processor, when the designation of any part is accepted, a plurality of drawings of at least one of the parts ordered immediately before the specified part and the part ordered immediately after the specified part. You can get the number of arrangements in. According to the information processing apparatus, it is possible to calculate the degree of influence of any of the designated parts by using the number of arrangements and output the calculated degree of influence. As a result, the information processing apparatus can grasp the magnitude of the influence of the change of the parts.

According to the information processing device, the connecting part is a part on a line segment extending outward from the first point of the connecting part and a part on the line segment extending outward from the second point of the connecting part. It can be treated as a component that shows the connection relationship of. Thereby, the information processing apparatus can be applied to the drawing in which the connecting component is not in contact with the component.

According to the information processing apparatus, a plurality of drawings having common attributes can be used. The information processing device can use a plurality of drawings having common attributes and generated according to a certain rule for generating order information and positional relationship information, thereby improving the usefulness of the order information and positional relationship information. be able to.

According to the information processing apparatus, the type of the part can be output as the information about the part. As a result, the information processing apparatus can easily grasp the type of the component.

According to the information processing apparatus, the shape or color of the component can be used as the attribute of the component. Thereby, the information processing apparatus can determine whether or not the shape or color of the component meets a predetermined criterion.

The information processing method described in this embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. The information processing program described in this embodiment is recorded on a computer-readable recording medium such as a hard disk, flexible disk, CD-ROM, MO, or DVD, and is executed by being read from the recording medium by the computer. Further, the information processing program described in this embodiment may be distributed via a network such as the Internet.

The following additional notes are further disclosed with respect to the above-described embodiment.

(Appendix 1) To the computer
An order showing the order relationship between parts for each combination of two parts having a connection relationship based on a plurality of drawings expressing a directed graph by arranging the parts and the connection parts showing the connection relationship between the parts. Generate information,
When the specification of any part is accepted, the information about at least one of the parts ordered immediately before the specified part and the part ordered immediately after the specified part is output based on the generated order information. do,
An information processing program characterized by executing processing.

(Appendix 2) The information processing program according to Appendix 1, wherein the component indicates data or a program.

(Appendix 3) To the computer
Based on the plurality of drawings, the positional relationship information indicating the positional relationship of the components is generated for each combination of the types of the two components having a connection relationship.
When a connecting part indicating any part of a predetermined drawing as a start point or an ending point is arranged, the direction of the arranged connecting part is referred to, and the one of the above is based on the generated positional relationship information. Output information about parts connected to parts,
The information processing program according to Appendix 1 or 2, wherein the processing is executed.

(Appendix 4) To the computer
Based on the plurality of drawings, the positional relationship information indicating the positional relationship of the components is generated for each combination of the types of the two components having a connection relationship.
The positional relationship of two parts having a connection relationship in a predetermined drawing expressing a directed graph by arranging the component and the connection component showing the connection relationship between the components is included in the positional relationship indicated by the generated positional relationship information. Judging whether or not it is possible, and outputting the judgment result,
The information processing program according to any one of Supplementary note 1 to 3, wherein the processing is executed.

(Appendix 5) To the computer
Based on the plurality of drawings, attribute information indicating the attributes of the parts in association with each other is generated for each type of the part.
Based on the generated attribute information, the attribute of any part in the predetermined drawing representing the directed graph by arranging the part and the connection part showing the connection relationship between the parts is the type of the one part. Judges whether or not it is included in the attribute corresponding to, and outputs the judgment result.
The information processing program according to any one of Supplementary note 1 to 4, wherein the processing is executed.

(Appendix 6) To the computer
Based on the plurality of drawings, the positional relationship information indicating the positional relationship of the components is generated for each combination of the types of the two components having a connection relationship.
When any part of the two parts having a connection relationship is moved in a predetermined drawing representing a directed graph by arranging the parts and the connection parts showing the connection relationship between the parts, the above two parts after the movement are moved. It is determined whether or not the positional relationship of the parts is included in the positional relationship indicated by the generated positional relationship information, and the determination result is output.
The information processing program according to any one of Supplementary note 1 to 5, wherein the processing is executed.

(Appendix 7) To the computer
Based on the plurality of drawings, the positional relationship information indicating the positional relationship of the components is generated for each combination of the types of the two components having a connection relationship.
When changing one part of two parts that have a connection relationship in a predetermined drawing that represents a directed graph by arranging the part and the connection part that shows the connection relationship between the parts, the part that is connected to the other part. Output information about,
The information processing program according to any one of Supplementary note 1 to 6, wherein the processing is executed.

(Appendix 8) To the computer
Based on the plurality of drawings, the positional relationship information indicating the positional relationship of the components is generated for each combination of the types of the two components having a connection relationship.
When changing the connection relationship by any of the connection parts in the predetermined drawing representing the directed graph by arranging the parts and the connection parts showing the connection relationship between the parts, any of the connection parts is connected after the change. It is determined whether or not the positional relationship between the two parts indicating the above is included in the positional relationship indicated by the generated positional relationship information, and the determination result is output.
The information processing program according to any one of Supplementary note 1 to 7, wherein the processing is executed.

(Appendix 9) To the computer
When the designation of any part is accepted, at least one of the parts ordered immediately before the specified part and the part ordered immediately after the specified part based on the generated order information. Using the number of arrangements in the plurality of drawings, the degree of influence of any of the specified parts is calculated, and the calculated degree of influence is output.
The information processing program according to any one of Supplementary note 1 to 8, wherein the processing is executed.

(Appendix 10) The connecting parts include a part on a line segment extending outward from a first point of the connecting part and a part on a line segment extending outward from a second point of the connecting part. The information processing program according to any one of Supplementary note 1 to 9, wherein the information processing program indicates the connection relationship between the two.

(Supplementary Note 11) The information processing program according to any one of Supplementary note 1 to 10, wherein the plurality of drawings have common attributes.

(Appendix 12) The information processing program according to Appendix 3 or 8, wherein the information about the component includes the type of the component.

(Supplementary Note 13) The information processing program according to Supplementary Note 5, wherein the attribute is the shape or color of a part.

(Appendix 14) The computer
An order showing the order relationship between parts for each combination of two parts having a connection relationship based on a plurality of drawings expressing a directed graph by arranging the parts and the connection parts showing the connection relationship between the parts. Generate information,
When the specification of any part is accepted, the information about at least one of the parts ordered immediately before the specified part and the part ordered immediately after the specified part is output based on the generated order information. do,
An information processing method characterized by executing processing.

(Appendix 15) Corresponding the order relationship between parts for each combination of two parts having a connection relationship based on a plurality of drawings expressing a directed graph by arranging the parts and the connection parts showing the connection relationship between the parts. Generates the order information shown with
When the specification of any part is accepted, the information about at least one of the parts ordered immediately before the specified part and the part ordered immediately after the specified part is output based on the generated order information. do,
An information processing device characterized by having a control unit.

100 Information processing device 101, 102 Drawing 103 Information 110 Order information 200 Information processing system 201 Client device 210 Network 300, 800 Bus 301, 801 CPU
302,802 Memory 303,803 Network I / F
304,804 Recording medium I / F
305,805 Recording medium 400 Positional relationship table 500 Impact table 600 Arrangement rule table 700 Attribute table 806 Display 807 Input device 900 Storage unit 901 Acquisition unit 902 Generation unit 903 Output unit 1301-1303 Arrangement state 1401 Straight line 1402 Key line 1403, 1404 Curve 1601 Block Arrow 1602 Block Curve 3201,3202,3601,3602,3701-3703,3901,3902,4001,4002 Record 3810 Arrow 4802 List 4803 Graph 4804 Bar Graph

Claims (11)

On the computer
An order showing the order relationship between parts for each combination of two parts having a connection relationship based on a plurality of drawings expressing a directed graph by arranging the parts and the connection parts showing the connection relationship between the parts. Generate information,
When the specification of any part is accepted, the information about at least one of the parts ordered immediately before the specified part and the part ordered immediately after the specified part is output based on the generated order information. do,
An information processing program characterized by executing processing. The information processing program according to claim 1, wherein the component represents data or a program. To the computer
Based on the plurality of drawings, the positional relationship information indicating the positional relationship of the components is generated for each combination of the types of the two components having a connection relationship.
When a connecting part indicating any part of a predetermined drawing as a start point or an ending point is arranged, the direction of the arranged connecting part is referred to, and the one of the above is based on the generated positional relationship information. Output information about parts connected to parts,
The information processing program according to claim 1 or 2, wherein the processing is executed. To the computer
Based on the plurality of drawings, the positional relationship information indicating the positional relationship of the components is generated for each combination of the types of the two components having a connection relationship.
The positional relationship of two parts having a connection relationship in a predetermined drawing expressing a directed graph by arranging the component and the connection component showing the connection relationship between the components is included in the positional relationship indicated by the generated positional relationship information. Judging whether or not it is possible, and outputting the judgment result,
The information processing program according to any one of claims 1 to 3, wherein the processing is executed. To the computer
Based on the plurality of drawings, attribute information indicating the attributes of the parts in association with each other is generated for each type of the part.
Based on the generated attribute information, the attribute of any part in the predetermined drawing representing the directed graph by arranging the part and the connection part showing the connection relationship between the parts is the type of the one part. Judges whether or not it is included in the attribute corresponding to, and outputs the judgment result.
The information processing program according to any one of claims 1 to 4, wherein the processing is executed. To the computer
Based on the plurality of drawings, the positional relationship information indicating the positional relationship of the components is generated for each combination of the types of the two components having a connection relationship.
When any part of the two parts having a connection relationship is moved in a predetermined drawing representing a directed graph by arranging the parts and the connection parts showing the connection relationship between the parts, the above two parts after the movement are moved. It is determined whether or not the positional relationship of the parts is included in the positional relationship indicated by the generated positional relationship information, and the determination result is output.
The information processing program according to any one of claims 1 to 5, wherein the processing is executed. To the computer
Based on the plurality of drawings, the positional relationship information indicating the positional relationship of the components is generated for each combination of the types of the two components having a connection relationship.
When changing one part of two parts that have a connection relationship in a predetermined drawing that represents a directed graph by arranging the part and the connection part that shows the connection relationship between the parts, the part that is connected to the other part. Output information about,
The information processing program according to any one of claims 1 to 6, wherein the processing is executed. To the computer
Based on the plurality of drawings, the positional relationship information indicating the positional relationship of the components is generated for each combination of the types of the two components having a connection relationship.
When changing the connection relationship by any of the connection parts in the predetermined drawing representing the directed graph by arranging the parts and the connection parts showing the connection relationship between the parts, any of the connection parts is connected after the change. It is determined whether or not the positional relationship between the two parts indicating the above is included in the positional relationship indicated by the generated positional relationship information, and the determination result is output.
The information processing program according to any one of claims 1 to 7, wherein the processing is executed. To the computer
When the designation of any part is accepted, at least one of the parts ordered immediately before the specified part and the part ordered immediately after the specified part based on the generated order information. Using the number of arrangements in the plurality of drawings, the degree of influence of any of the specified parts is calculated, and the calculated degree of influence is output.
The information processing program according to any one of claims 1 to 8, wherein the processing is executed. The computer
An order showing the order relationship between parts for each combination of two parts having a connection relationship based on a plurality of drawings expressing a directed graph by arranging the parts and the connection parts showing the connection relationship between the parts. Generate information,
When the specification of any part is accepted, the information about at least one of the parts ordered immediately before the specified part and the part ordered immediately after the specified part is output based on the generated order information. do,
An information processing method characterized by executing processing. An order showing the order relationship between parts for each combination of two parts having a connection relationship based on a plurality of drawings expressing a directed graph by arranging the parts and the connection parts showing the connection relationship between the parts. Generate information,
When the specification of any part is accepted, the information about at least one of the parts ordered immediately before the specified part and the part ordered immediately after the specified part is output based on the generated order information. do,
An information processing device characterized by having a control unit.

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