JP6718835B2 - Utilization status analysis device for information processing system and utilization status analysis method - Google Patents

Description

The present invention relates to a usage status analysis device and a usage status analysis method for an information processing system.

Patent Document 1 "provides a configuration for efficiently and accurately analyzing the usage status of a fixed document." "A usage status of a fixed document based on analysis applying fixed document information and an access log to a document management system. For example, the fixed document information is acquired through the user interface, and the access status to the fixed document in the document management system executed by the project members in each phase of the project is extracted and analyzed under various conditions, This result is visualized and the result is presented. With this configuration, it is possible to know the usage status of the fixed form document and the degree of influence on the subsequent work, etc. Fixed form document that is frequently used, fixed form document that is rarely used It is possible to determine the number of times of use, the time when the frequency of use becomes high, etc.”

JP, 2007-122440, A

Generally, maintenance and development of business information processing systems are rarely developed as completely new information processing systems, and most of them are reconstruction based on existing information processing systems (hereinafter referred to as existing systems). Is. Therefore, when maintaining an existing system or developing a new information processing system (hereinafter referred to as a new system), a detailed survey/analysis is performed on the existing system. Such investigation/analysis is carried out, for example, by hearing from an experienced person who has experienced the development/maintenance/operation of an existing system or an end user, a method using a tool as described in Patent Document 1, or the like.

However, although the operator of the existing system understands the outline of the actual usage of the current system from the experience of responding to inquiries from end users, it does not necessarily have information based on quantitative data, and the accuracy is not always accurate. Often cannot get high information. In addition, although developers and maintainers of existing systems often have knowledge of the configuration of existing systems, they often do not have knowledge of the actual usage from the end user side. In this way, in the field of maintenance and development of the information processing system, it is necessary to grasp both the knowledge about the existing system configuration and the actual usage from the end user side, which is the key to effective investigation/analysis of the existing system. There is a shortage of people who do not exist, and it is a problem that accurate information about the actual usage of existing systems cannot be grasped efficiently.

The present invention has been made in view of these problems, and provides a usage status analysis device for an information processing system and a usage status analysis method capable of efficiently obtaining accurate information regarding the usage status of an information processing system. The purpose is to

One of the present inventions is a utilization status analysis apparatus for an information processing system, which is acquired from an information processing system to be analyzed that provides a processor, a memory, and a plurality of users used by a plurality of users. Operating information including information on the usage history of the user of the user, and a usage frequency index that is an index showing the frequency of use of each of the plurality of users for each user in a predetermined period. A storage unit for storing, a use subject selection unit for selecting a plurality of use subjects based on the use frequency index, and the user object used by each of the plurality of use subjects selected based on the operation information. And a work flow generation unit that generates output information including information indicating the respective flow charts of the generated work flow charts in a comparable manner.

In addition, the problems disclosed by the present application and the solutions therefor will be made clear by the section of the embodiments for carrying out the invention and the drawings.

According to the present invention, it is possible to efficiently obtain accurate information regarding the actual usage of the information processing system.

It is a figure explaining the composition of the work analysis support device and the analysis object system in a 1st embodiment. It is an example of hardware of a base terminal, a server device, and a work analysis support device. It is a processing block diagram which shows the function of a work analysis support device, and the information which a work analysis support device memorize|stores. It is an example of program operation information. It is an example of a program/function correspondence table. It is an example of a user/base correspondence table. It is an example of actual usage information. It is an example of a base group selection screen. It is an example of instance information. It is an example of a work flow display screen for each site. It is an example of a work flow display screen for each site. It is a flowchart explaining a use actual condition information generation process. It is a flowchart explaining a base group selection process. 9 is a flowchart illustrating an instance information generation process. It is a flow chart explaining business flow generation processing. It is a processing block diagram which shows the function of the business analysis support apparatus of 2nd Embodiment, and the information which the business analysis support apparatus memorize|stores. It is a flowchart explaining a work index calculation process. It is a flow chart explaining business flow generation processing. It is an example of a work flow display screen for each site. It is an example of a work flow display screen for each site.

Hereinafter, embodiments will be described with reference to the drawings.

[First Embodiment]
A schematic configuration of an actual usage analysis apparatus 100 of an information processing system shown as a first embodiment in FIG. 1 and an information processing system (hereinafter, referred to as an analysis target system 1) that is a target of business analysis by the actual usage analysis apparatus 100. Is shown. The analysis target system 1 is, for example, an ordering management system, an invoice issuing system, a sales management system, an inventory management system, an accounting/financial system, a store management system, or the like. The analysis target system 1 is provided in each of a plurality of bases 4 (branch offices, business offices, head offices, etc.) provided in various places, which are the main users of the analysis target system 1, and operated by the user 6 of each base 4. Multiple terminal devices (hereinafter referred to as base terminal 2)
Called. ) And a server device 3 communicatively connected to each base terminal 2 via a communication network 5 (Internet, public communication network, dedicated line, etc.). The actual usage analysis apparatus 100 analyzes the analysis target system 1 based on the log information 30 acquired from the analysis target system 1, and acquires information regarding the actual usage of the analysis target system 1.

The server device 3 provides various services to the base terminal 2 via the communication network 5. The server device 3 manages an execution history (hereinafter, referred to as log information 30) of a function (user object) in the server device 3 and each base terminal 2 that is generated when a service is provided. The log information 30 described above is generated by, for example, an application program or an operating system operating in the server device 3 or each base terminal 2. The server device 3 acquires the log information 30 from each base terminal 2 at any time via the communication network 5, for example.

The actual usage analysis device 100 analyzes the actual usage of the user 6 regarding the functions provided by the analysis target system 1 based on the log information 30 managed by the server device 3. The log information 30 is input to the actual usage analysis apparatus 100 via a communication means such as the communication network 5 or a portable recording medium.

FIG. 2 is an information processing device (computer) (hereinafter referred to as the information processing device 10) shown as an example of hardware of the base terminal 2, the server device 3, and the usage status analysis device 100. The server device 3 and the usage analysis device 100 may be realized by using virtual resources, such as a virtual server or a cloud server in a cloud system. The base terminal 2, the server device 3, and the actual usage analysis device 100 may be realized by, for example, a plurality of information processing devices or processors that are communicably connected.

As shown in the figure, the information processing device 10 includes a processor 11, a main storage device 12, an auxiliary storage device 13, an input device 14, an output device 15, and a communication device 16. These are communicably connected to each other via a communication means such as a bus (not shown).

The processor 11 is configured using, for example, a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). By the processor 11 reading and executing the program stored in the main storage device 12, various functions of the base terminal 2, the server device 3, and the usage actual condition analysis device 100 are realized. The main storage device 12 is a device that stores programs and data, and is, for example, a ROM (Read Only Memory), a RAM (Random Access Memory), a nonvolatile semiconductor memory (NVRAM (Non Volatile RAM)), or the like.

The auxiliary storage device 13 is, for example, a hard disk drive or an SSD (Solid State Drive).
), optical storage devices (CDs (Compact Discs), DVDs (Digital Versatile Discs), etc.), storage systems, IC cards, SD memory cards, read/write devices for recording media such as optical recording media, and cloud servers. For example, a storage area. The programs and data stored in the auxiliary storage device 13 are loaded into the main storage device 12 as needed. The auxiliary storage device 13 may be connected via a communication means like a network storage, for example.

The input device 14 is a user interface that receives external input, and is, for example, a keyboard, a mouse, a touch panel, a portable recording medium reading device, or the like.

The output device 15 is a user interface that provides various kinds of information such as a process progress and a process result. For example, a screen display device (LCD (Liquid Crystal Display), graphic card, etc.), a printing device, or a portable recording medium is written. Device, etc. Note that, for example, a configuration in which information is input to or output from another device via the communication device 16, that is, the communication device 16 may function as the input device 14 or the output device 15.

The communication device 16 is a wired or wireless communication interface that realizes communication with other devices through communication means such as the communication network 5, and is, for example, a NIC (Network Interface Card) or wireless communication. Modules, etc.

FIG. 3 is a processing block diagram for explaining various functions and various pieces of information (data) included in the actual usage analysis apparatus 100. Each function shown in the figure is realized, for example, by the processor 11 of the information processing device 10 reading and executing a program stored in the main storage device 12 or the auxiliary storage device 13. Further, the functions shown in the figure are realized by, for example, hardware (ASIC (Application Specific Integrated Circuit) or the like) included in the actual usage analysis apparatus 100. The actual usage analysis device 100 may further include functions such as an operating system, a device driver, and a DBMS (DataBase Management System).

As shown in the figure, the utilization status analysis apparatus 100 includes a log information acquisition unit 111, an operation information generation unit 112, an information setting unit 114, a utilization status information generation unit 115, a base group selection unit 116 (use subject selection unit), It has the functions of the instance information generation unit 117 and the business flow generation unit 118.

As shown in the figure, the actual usage analysis apparatus 100 stores program operation information 151, a program/function correspondence table 152, a user/base correspondence table 153, actual usage information 154, and instance information 155. The usage analysis apparatus 100 manages these pieces of information (data) by, for example, a file system or DBMS.

Among the above functions, the log information acquisition unit 111 acquires and stores the log information 30 provided from the server device 3 via the input device 14 and the communication device 16.

The operation information generation unit 112 generates the program operation information 151 based on the log information 30 acquired by the log information acquisition unit 111.

FIG. 4 shows an example of the program operation information 151. As shown in the figure, the program operation information 151 is composed of one or more records having respective items of date and time 1511, program ID 1512, case ID 1513, and user ID 1514. One record of the program operation information 151 is an execution history (hereinafter referred to as “execution history” generated by execution of a program that realizes the function of the analysis target system 1 due to an action (input operation or the like) performed by the user 6. , Execution log).

Of the above items, the date and time 1511 is set to the date and time when the program identified by the program ID 1512 was executed.

In the program ID 1512, a unique identifier (hereinafter referred to as program ID) assigned to each program is set.

In the case ID 1513, an identifier (hereinafter referred to as case ID) assigned to each processing unit viewed from the user 6 side is set. For example, when the analysis target system 1 is an ordering management system, the case ID is an identifier given to each order received or each order placed. Further, for example, when the analysis target system 1 is a bill issuing system, the case ID is an identifier assigned to each bill.

The user ID 1514 is set with the identifier of the user 6 who has performed the action that triggered the generation of the program execution log (hereinafter referred to as the user ID).

Returning to FIG. 3, the information setting unit 114 sets the contents of the program/function correspondence table 152 and the user/base correspondence table 153 based on the information received from the user or the like via the input device 14 or the communication device 16. The program/function correspondence table 152 and the user/base correspondence table 153 are used when generating the actual usage information 154 described later.

FIG. 5 shows an example of the program/function correspondence table 152. As shown in the figure, the program/function correspondence table 152 is composed of one or more records having respective items of function ID 1521, function name 1522, and 1523. Each record of the program/function correspondence table 152 shows the correspondence between the program and the function realized by the program.

In the function ID 1521 of the above items, an identifier (hereinafter, referred to as a function ID) assigned to each function of the analysis target system 1 is set. In the function name 1522, the name of the function included in the analysis target system 1 (hereinafter referred to as the function name) is set. The above-mentioned program ID is set in the program ID 1523.

FIG. 6 shows an example of the user/base correspondence table 153. As shown in the figure, the user/base correspondence table 153 is composed of one or more records having respective items of a user ID 1531 and a base name 1532. Each record of the user/base correspondence table 153 shows the correspondence between the user and the location of the user (base 4 where the base terminal 2 operated by the user is located).

Among the above items, the user ID 1531 is set to the user ID described above. A base name, which is an identifier of the base 4, is set in the base name 1532.

Returning to FIG. 3, the actual use information generation unit 115 generates actual use information 154 based on the program/function correspondence table 152, the user/base correspondence table 153, and the program operation information 151. The actual usage information 154 includes information indicating the actual usage for each function of the analysis target system 1 (the actual usage for each base 4 ). A specific method of generating the actual use information 154 by the actual use information generation unit 115 will be described later.

FIG. 7 shows an example of the actual usage information 154. Each row 1541 of the table shown in the figure corresponds to one of the functions of the analysis target system 1. Further, each column 1542 of the table shown in the figure corresponds to one base 4. In a cell (frame) of a matrix specified by rows and columns, information indicating the usage frequency of the function of the row (hereinafter, referred to as usage frequency index) is set. In this example, the larger the set numerical value, the higher the frequency of use. The usage frequency index is, for example, the number of times of execution of each program counted from the program operation information 151 (for example, the cumulative total number of generated execution logs (total)), but the mode of the usage frequency index is not necessarily limited. For example, an average value (frequency of use) per unit time or a logarithmic conversion of a cumulative total (sum) may be used as the frequency-of-use index.

Returning to FIG. 3, the base group selection unit 116 compares the actual use states (usage tendencies) of the respective functions between the bases 4 based on the actual use state information 154, and groups the bases 4 having similar actual use states (grouping). ) Do. Then, the site group selection unit 116 generates a screen in which the grouped site groups are described (hereinafter referred to as a site group selection screen 800) and displays it on the output device 15 to prompt the user to select the site group. A specific method of grouping will be described later.

FIG. 8 is an example of the base group selection screen 800. As shown at the bottom of this screen, in this example, the base group selection unit 116 sets the five bases 4 in the actual usage information 154 shown in FIG. 7 as “Yokohama Sales Office”, “Marunouchi Sales Office”, and “Kawasaki Sales Office”. It is grouped into a base group consisting of three bases 4 of “business office” and a base group consisting of two bases 4 of “Yokohama Accounting” and “Marunouchi Accounting”.

As shown in the figure, the site group selection unit 116 rearranges the order in the column direction so that the sites 4 of the same group of grouped sites are adjacent to each other and displays them on the site group selection screen 800. When the user checks the selection column 821 (check box) of the selected base group and operates the base group selection button 822, the base group selection unit 116 accepts the checked base group as the selected base group.

Returning to FIG. 3, the instance information generation unit 117, for each base 4 belonging to the base group accepted by the base group selection unit 116 from the user, based on the program operation information 151 and the user/base correspondence table 153, and for each base described later. Information (hereinafter referred to as instance information 155) used when generating the business flow display screen 1000 is generated. A specific method of generating the instance information 155 will be described later.

FIG. 9 shows an example of the instance information 155. As shown in the figure, the instance information 155 is composed of one or more records having respective items of a function ID 1521, a site name 1551, a case ID 1552, a work flow instance 1553, a start date/time 1554, and an end date/time 1555. .. Each record of the instance information 155 indicates the correspondence between the combination of the site name and the case ID and the function group (function name group) of the analysis target system 1.

Among the above items, the site name 1551 is set with the above-mentioned site name. The case ID described above is set in the case ID 1552. In the business flow instance 1553, the function name of the analysis target system 1 acquired from the program operation information 151 regarding the combination of the site name and the case ID is set.

In the start date/time 1554, the start date/time 1554 of the process (the process related to the function set in the business flow instance 1553) performed on the combination of the site name and the case ID acquired from the program operation information 151 is set.

The end date/time 1555 is set to the end date/time 1555 of the process (process related to the function set in the business flow instance 1553) performed on the combination of the site name and the case ID acquired from the program operation information 151.

Returning to FIG. 3, the business flow generation unit 118 displays a business flow chart for each site based on the instance information 155 (hereinafter referred to as a business flow display screen for each site 1000) and a business flow display screen for each site 1000. A screen (business flow display screen for each site 1100) in which the topological difference between the sites 4 is emphasized is generated, and the generated screen is displayed on the output device 15. It should be noted that a specific method of generating the business flow display screen 1000 for each site and the business flow display screen 1100 for each site will be described later.

FIG. 10 shows an example of the business flow display screen 1000 for each site. As shown in the figure, on the business flow display screen 1000 for each site, a business flowchart for each site 4 is displayed.

FIG. 11 shows an example of the business flow display screen for each site 1100. As shown in the figure, the business flow display screen for each site 1100 describes a business flowchart for each site and highlights differences for each site 4. It should be noted that the highlighting is performed based on the base 4 selected by the user (hereinafter referred to as a reference base). For example, when the user checks the selection field 1021 (check box) on the business flow display screen 1000 for each site of FIG. 10 and operates the inter-base difference display button 1022, the business flow generation unit 118 selects the checked site 4. A screen in which a portion corresponding to the topological difference between the bases 4 is highlighted is displayed.

In the example in the figure, "Marunouchi Sales Office" is selected as the reference site, and the differences between "Yokohama Sales Office" and "Marunouchi Sales Office" and the differences between "Kawasaki Sales Office" and "Marunouchi Sales Office" are highlighted. It is displayed. In the same figure, the thick arrow indicates the flow of processing that is increased with respect to the work flow chart of the reference site. The dashed arrows (in the case of FIG direct flow Re decrease in "Order" from the "order making") decreases to the business flow chart of the reference base showing the flow of processing that is. In the figure, the functions shown by the dotted lines indicate the functions that increase with respect to the work flow chart of the reference site.

Next, the processing performed by the utilization status analysis device 100 will be described.

FIG. 12 is a process in which the usage status information generation unit 115 of the usage status analysis apparatus 100 generates usage status information 154 based on the program/function correspondence table 152, the user/base correspondence table 153, and the program operation information 151 (hereinafter , Which is referred to as actual usage information generation processing S1200). The actual usage information generation process S1200 will be described below with reference to FIG.

First, the actual usage information generation unit 115 generates a brute force combination of each function in the program/function correspondence table 152 and each base 4 in the user/base correspondence table 153 (S1211).

Then, the actual usage information generation unit 115 receives the program operation information 151 as an input and obtains a usage frequency index for each of the generated combinations (S1212).

Then, the actual use information generation unit 115 sets the obtained use frequency index in the cells of the matrix and generates actual use information 154 (for example, FIG. 7).

In FIG. 13, the site group selection unit 116 of the usage analysis apparatus 100 compares the usage statuses of the respective functions between the sites 4 based on the usage status information 154, and the usage statuses (usage tendencies) are similar to each other. 5 is a flowchart for explaining a process of grouping (grouping) the groups, presenting the grouped sites and accepting the selection of the sites to the user (hereinafter referred to as a site group selection process S1300). The group selection process S1300 will be described below with reference to FIG.

First, the base group selection unit 116 aggregates the use frequency index of each function for each base 4 based on the use status information 154, array U(i) (where i is assigned to each base from the leftmost column of the use status information 154). Generated number) is generated (S1311). For example, in the case of the actual usage information 154 of FIG. 7, the array U(i) of “Yokohama Sales Office” is (210, 210, 210, 210, 0, 0, 0).

Subsequently, the base group selection unit 116 compares the actual usage of functions between the bases 4 (S1312). For example, the base group selection unit 116 compares the actual usage of functions between bases by using the cosine similarity between the arrays U(i) and U(j) (where i≠j). Here, the cosine similarity is the inner product of two arrays (vectors) divided by the product of the lengths of the arrays (that is, the cosine of the angle formed by each array).

For example, in the case of the usage information 154 of FIG. 7, the cosine similarity between “Yokohama Sales Office” and “Marunouchi Sales Office” is “0.866”, and the cosine similarity between “Marunouchi Sales Office” and “Marunouchi Accounting” is It becomes "0.0155". In this case, it can be determined that the actual usage of the function of “Marunouchi Sales Office” is more similar to “Yokohama Sales Office” than “Marunouchi Accounting”.

Subsequently, the base group selection unit 116 groups (groups) the bases 4 having similar usage conditions (usage tendencies) (S1313). For example, the base group selection unit 116 groups the bases 4 whose cosine similarity is larger than the set threshold value.

For example, in the case of the actual usage information 154 in FIG. 7, the cosine similarity between the bases 4 is “0.866” for “Yokohama Sales Office” and “Marunouchi Sales Office”, and “Yokohama Sales Office” and “Kawasaki Sales Office”. "0.804", "Marunouchi Sales Office" and "Kawasaki Sales Office" are "0.928", "Yokohama Sales Office" and "Marunouchi Accounting" are "0.0134", "Marunouchi Sales Office" and " "0.0155" for "Marunouchi Accounting", "0.0118" for "Marunouchi Accounting" and "Kawasaki Sales Office", "0.999" for "Yokohama Accounting" and "Marunouchi Accounting", and all other combinations are " It is "0". Therefore, for example, if the threshold value is set to “0.8”, a group of bases including “Yokohama Sales Office”, “Marunouchi Sales Office”, and “Kawasaki Sales Office”, and “Yokohama Accounting” and “Marunouchi Accounting” Can be grouped into a group of bases having "" as an element.

Returning to FIG. 13, subsequently, the site group selection unit 116 generates a site group selection screen 800 and displays it on the output device 15 to prompt the user to select a site group (S1314).

FIG. 14 is a process in which the instance information generation unit 117 of the usage analysis apparatus 100 generates instance information 155 used when generating the business flow display screen for each site 1000 for a group of sites received from a user (hereinafter, instance information. It is a flowchart explaining the generation process S1400.). The instance information generation process S1400 will be described below with reference to FIG.

First, the instance information generation unit 117 selects one of the bases 4 that is an element of the base group selected by the user (S1411).

Subsequently, the instance information generation unit 117 acquires operation information regarding the program executed at the selected base 4 based on the program operation information 151 and the user/base correspondence table 153 (S1412). Specifically, the instance information generation unit 117 first acquires the user ID corresponding to the selected base 4 from the user/base correspondence table 153, and extracts the record including the acquired user ID from the program operation information 151. Thus, the operation information of the program executed at the selected base 4 is acquired.

For example, if the user/base correspondence table 153 has the contents of FIG. 6, the selected base 4 is “Yokohama Sales Office”, and the selected base 4 is “Yokohama Sales Office”, the instance information generation unit 117 , "U_11" is acquired, and a record having a user ID 1514 of "U_11" is extracted from the program operation information 151.

Then, the instance information generation unit 117 generates the instance information 155 by synthesizing the contents of the record having the same (common) matter ID 1513 based on the acquired record and the program/function correspondence table 152 (S1413). ..

For example, in S1412, when the records from the first line to the fourth line of the program operation information 151 shown in FIG. 4 are extracted, the instance information generation unit 117 determines that the function name corresponding to the program ID 1512 of these records. 1522 is acquired from the program/function correspondence table 152, the acquired function name is set in the business flow instance 1553, the earliest date/time 1511 of these records is set in the start date/time 1554, and the latest of these records is set. The record of the instance information 155 is generated by setting the date and time 1511 of 1 to the end date and time 1555.

When the function names are duplicated among a plurality of records of the instance information 155, the instance information generation unit 117 aggregates the duplicated function names into one function name and sets it in the business flow instance 1553. The instance information generation unit 117 sets the function name in the business flow instance 1553 according to the execution order of each function. The instance information generation unit 117 acquires information indicating the execution order of each function of the business process flowchart from the content of the program operation information 151, for example.

In S1414, the instance information generation unit 117 determines whether or not there is a base 4 that has not been selected in S1411 from the selected base group (S1414). If there is an unselected base 4 (S1414: YES), the process returns to S1411. When there is no unselected base 4 (S1414: NO), the instance information generation process S1400 ends.

In FIG. 15, the business flow generation unit 118 of the usage analysis apparatus 100 generates the above-mentioned base-specific work flow display screen 1000 and the above-mentioned base-specific work flow display screen 1100 based on the instance information 155, and displays the generated screens. 6 is a flowchart illustrating a process displayed on the output device 15 (hereinafter, referred to as a business flow generation process S1500). The business flow generation process S1500 will be described below with reference to FIG.

First, the business flow generation unit 118 superimposes records (instances) having the same base name 1551 in the instance information 155 (S1511). Here, superimposing records means generating a non-overlapping set for the "node" and "transition" of each record. For example, when the instance information 155 has the content of FIG. 9, “node” is each function (function name) set in the business flow instance 1553, and “transition” is set in the business flow instance 1553. It is the execution order of each function.

For example, in the instance information 155 of FIG. 9, when two records with the site name 1551 of “Kawasaki sales office” are overlapped, the set of “nodes” is “order creation”, “order content confirmation”, “order return”. , And “Order approval”, and the set of “Transition” is “Order creation→Order content confirmation”, “Order content confirmation→Order approval”, “Order content confirmation→Order return”, It is composed of 4 elements: "Return order → Confirm order details".

Subsequently, the business flow generation unit 118 generates and displays the business flow display screen for each site 1000 based on the instance information 155 after the above-mentioned superposition (S1512).

Subsequently, the workflow generation unit 118 determines whether or not a display instruction of a different portion (operation for the inter-base difference display button 1022) has been received via the input device 14 (S1513). If the instruction has not been received (S1513: NO), the business flow generation process S1500 ends. When the instruction is received (S1513: YES), the process proceeds to S1514.

In step S1514, the workflow generation unit 118 detects a topological difference in the workflow flowchart between the bases 4. Here, the topological difference is specifically a difference set of the set of “nodes” of the bases 4 to be compared and a difference set of the set of “transitions” of each base 4.

Topological differences will be specifically described by taking the instance information 155 of FIG. 9 as an example. Here, it is assumed that "Marunouchi Sales Office" is selected as the reference site.

First, the set of "nodes" of "Marunouchi Sales Office" has three elements: "order creation", "order details confirmation", and "order approval", and the "transition" set is "order creation → order details confirmation". , “Order content confirmation→Order approval”. Compared here with "Kawasaki Sales Office", the difference set of "nodes" at both bases 4 is "order return", and the difference set of "transition" is "order content confirmation → order return", "order return →" Confirmation of order details". The "node" difference set and the "transition" difference set both appear only in the "Kawasaki sales office" and not in the reference base "Marunouchi sales office".

On the other hand, the “node” set of “Yokohama Sales Office” has four elements, “order creation”, “past order copy”, “order content confirmation”, and “order approval”, and the “transition” set is There are three elements: order creation→past order copy", "past order copy→order details confirmation", and "order details confirmation→order approval". Compared to "Marunouchi office", the difference set of "nodes" at both locations 4 is "past order copy", and the difference set of "transition" is "order creation → past order copy", "past order copy". There are three elements: “Check order details” and “Create order → Check order details”. Then, "order creation→order content confirmation", which is an element of the difference set of "transition", does not appear in the comparison target "Yokohama Sales Office" but appears in the reference base "Marunouchi Sales Office".

Returning to FIG. 3, subsequently, the business flow generation unit 118 displays the business flow for each site by highlighting the topological difference between the sites 4 on the business flow display screen for each site 1000 based on the detected topological difference. The screen 1100 is generated and displayed (S1515). In the business flow display screen 1100 for each site shown in FIG. 11, the elements of the difference set of “node” are indicated by a dotted frame, and the elements of the difference set of “transition” are indicated by a bold line arrow or a broken line arrow, respectively. ing.

As described above, according to the use status analysis device 100 of the present embodiment, it is possible to provide the user with the work flow charts of the plurality of use subjects selected based on the program operation information 151 in a comparable manner. it can. Further, according to the actual usage analysis apparatus 100 of the present embodiment, it is possible to provide information regarding the business flowcharts and the differences in the operational flowcharts of the respective bases 4 with respect to the respective bases 4 having similar usage realities (usage tendencies). In addition, the actual usage analysis apparatus 100 selects a plurality of bases 4 having similar actual usages, and provides the user with information indicating each of the operation flowcharts of the selected plurality of bases 4 in a comparable manner. Therefore, the user can easily understand the difference in the work flow chart between the bases 4 and the bases 4 having similar usages, and can find the problematic part in the analysis target system 1 and formulate the improvement plan. As described above, according to the actual usage analysis apparatus 100 of the present embodiment, it is possible to efficiently obtain accurate information regarding the actual usage of the analysis target system 1. Therefore, the maintainer or the developer of the information processing system can efficiently perform the work and provide an efficient and high-quality information processing system.

[Second Embodiment]
The actual usage analysis apparatus 100 of the second embodiment has a function of providing information about superiority or inferiority (quality) of the work flow chart of each base 4, in addition to the functions of the actual usage analysis apparatus 100 of the first embodiment. Hereinafter, the configuration of the usage status analysis device 100 according to the second embodiment and the processing performed by the usage status analysis device 100 according to the second embodiment will be described.

The actual usage analysis apparatus 100 of the second embodiment has the same configuration as the actual usage analysis apparatus 100 of the first embodiment. Further, the actual usage analysis device 100 of the second embodiment can perform the same processing as the actual usage analysis device 100 of the first embodiment. In the following, among the configuration and processing of the usage status analysis device 100 of the second embodiment, the points that differ from the usage status analysis device 100 of the first embodiment will be mainly described.

FIG. 16 is a processing block diagram illustrating various functions and various pieces of information (data) included in the actual usage analysis apparatus 100 according to the second embodiment. The basic configuration (hardware, method of realizing each function, etc.) of the usage status analysis device 100 of the second embodiment is the same as that of the usage status analysis device 100 of the first embodiment.

As shown in the figure, the usage status analysis device 100 of the second embodiment further includes a task index calculation unit 121 in addition to the functions of the usage status analysis device 100 of the first embodiment. The work index calculation unit 121 obtains a work index that is an index indicating the superiority or inferiority (quality) of the work flow chart of each base 4 based on the instance information 155 generated by the instance information generation unit 117.

FIG. 17 is a flowchart illustrating a process (hereinafter, referred to as a work index calculation process S1700) performed when the work index calculation unit 121 obtains a work index. Hereinafter, the work index calculation process S1700 will be described with reference to FIG.

First, the task index calculation unit 121 selects one base 4 specified by the base name 1551 from the instance information 155 (S1711).

Subsequently, the work index calculation unit 121 obtains a work index for the selected base 4, and stores the obtained work index in association with the base 4 (S1712). In this example, the work index calculation unit 121 calculates the reciprocal of the average value of the required time (the value obtained by subtracting the start date 1554 from the end date 1555) for each item (item ID 1552) processed at the selected base 4 (per unit time). The number of cases to be processed (that is, the throughput of the case) is obtained as a work index of the selected base 4.

In addition to the required time, the work index may be set from various viewpoints such as the quality of the work at the base 4 (work quality) and the number of man-hours required for the work (required man-hours). For example, as an example of the work index based on the view point of work quality, there is a rework occurrence frequency (for example, a ratio of the number of reworked projects to the total number of projects at each base 4). Further, as an example of the work index based on the number of man-hours, a cost required for processing the work (for example, a value obtained by dividing the total number of works processed according to the work flow chart in a predetermined period by the number of persons engaged in the work (for example, There is a value obtained by dividing the number of employees at each base 4 by the number of processed cases)). The usage analysis apparatus 100 appropriately acquires the information necessary for obtaining the work index from the analysis target system 1 or the like.

Subsequently, the task index calculating unit 121 determines whether or not the instance information 155 includes the site 4 not selected in S1711 (S1713). If there is an unselected base 4 (S1713: YES), the process returns to S1711. When there is no unselected base 4 (S1713: NO), the work index calculation process S1700 ends.

FIG. 18 is a process in which the business flow generation unit 118 of the usage analysis apparatus 100 generates a business process flowchart based on the instance information 155 and the business index calculated by the business index calculation unit 121 (hereinafter, referred to as business flow generation process S1800). Is a flow chart for explaining (. The work flow generation process S1800 is started after the instance information 155 is generated and the work index calculation process S1700 is completed. The business flow generation process S1800 will be described below with reference to FIG.

Among the processes shown in the figure, the process of S1811 is the same as S1511 of FIG.

In S1812, the business flow generation unit 118 superimposes records (instances) by the same method as in S1512 of FIG. 15 and uses the business index calculated by the business index calculation unit 121 to display a business flowchart for each site. (Hereinafter, referred to as business flow display screen for each site 1900.) is generated and displayed.

FIG. 19 shows an example of the work flow display screen for each site 1900. As shown in the figure, the business flow display screen for each site 1900 includes the same contents as the business flow display screen for each site 1000 shown in FIG. 10, and further the business index of each site 4 is displayed. .. The work flow chart of each base may be arranged in ascending or descending order of work indexes and displayed on the work flow display screen for each base 1900.

As shown in the figure, a factor analysis button 1921 is provided on the business flow display screen for each site 1900.

Returning to FIG. 18, in S1813, the workflow generation unit 118 determines whether or not an instruction as to whether or not to perform factor analysis (a selection operation of the factor analysis button 1921 in FIG. 19 or the like) has been received. If the instruction has not been received (S1813: NO), the business flow generation process S1800 ends. When the instruction is received (S1813: YES), the process proceeds to S1814.

In step S1814, the business flow generation unit 118 identifies a function having a high correlation with the business index. Then, the business flow generation unit 118 generates and displays a screen in which the specified function is highlighted (hereinafter referred to as a business flow display screen for each site 2000).

FIG. 20 shows an example of the work flow display screen 2000 for each site. In this example, the work index of the work flow chart of “Yokohama Sales Office” is higher than that of the other bases 4, but the work flow generation unit 118 has the higher work index of “Yokohama Sales Office”. The function that is presumed to be the cause (the function that has a high correlation with the work index) is highlighted (displayed with a broken line frame in this example). In the case of the same figure, the "node" which is the "past order copy" is identified as the "node" which has the greatest effect on the throughput. That is, it is shown that the execution of the “past order copy” is the main factor for increasing the throughput of the item.

The business flow generation unit 118 identifies a function having a high correlation with the business index, for example, as follows. Here, a case will be described as an example in which a regression analysis is performed using the objective variable as the business index of the base 4 and the explanatory variable as the presence/absence of the appearance of a “node” (function) in the business flow. When the presence or absence of the appearance of the “node” which is an explanatory variable is expressed as X [name of the “node” (function name)] and the throughput of the matter at the base 4 is expressed as Y, the workflow generation unit 118
Y=A×X [order creation]+B×X [order confirmation]+C×X [order approval]+D×X [past order copy]+E×X [order return]+Z
When the is a regression equation, an explanatory variable that causes the coefficients A to E to have a (positive) maximum value is specified as a factor that most affects the objective variable (business index (throughput of the case in this example)). The method of performing the correlation analysis between the work index value and the work flow function is not necessarily limited. In the above, the case where the work index is based on the viewpoint of required time (throughput of the project) has been shown. However, as the work index, for example, the quality of work (work quality) and the number of man-hours required (work required) ) Etc. based on other viewpoints may be used.

As described above, according to the use status analysis apparatus 100 of the second embodiment, it is possible to provide the work index of each work flow chart for each base 4 having a similar usage status. Further, the user can easily know the function (function having a high correlation with the value of the work index) that is estimated to be the main factor that causes the work index to have such a value among the functions forming the work flow chart. it can. Therefore, a user such as a maintainer or a developer of the information processing system can easily determine the superiority or inferiority (quality) of the actual use of the function between the bases 4 using the analysis target system 1, and the analysis target system 1 Can find problems and formulate improvement plans. Further, a user such as a maintainer or a developer of the information processing system can efficiently perform the work based on the result of the above determination and provide an efficient and high quality information processing system.

Needless to say, the present invention is not limited to the above-described embodiment, and various modifications can be made without departing from the scope of the invention. For example, the above-described embodiments have been described in detail in order to explain the present invention in an easy-to-understand manner, and are not necessarily limited to those including all the configurations described. Further, it is possible to add/delete/replace other configurations with respect to a part of the configurations of the above-described embodiment.

For example, in the above, the base 4 is shown as an example of the usage subject, but the usage subject is not necessarily limited. For example, the usage subject may be a user who uses the analysis target system 1 (an individual user who uses the base terminal 2 or the like), a department to which the user belongs, a work place of the user, or the like. Although the case where the user object is a function has been described above, the user object is not necessarily limited. For example, the user object may be an individual program executed in the analysis target system 1.

Further, each of the above-described configurations, functional units, processing units, processing means, and the like may be realized by hardware, for example, by designing some or all of them with an integrated circuit. Further, the above-described respective configurations, functions and the like may be realized by software by a processor interpreting and executing a program for realizing each function. Information such as a program, a table, and a file that realizes each function can be placed in a recording device such as a memory, a hard disk, an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, and a DVD.

Further, in each of the above-mentioned drawings, the control lines and information lines are shown to be necessary for explanation, and not all the control lines and information lines for mounting are necessarily shown. For example, it may be considered that almost all the configurations are actually connected to each other.

Moreover, the arrangement form of the various functional units, the various processing units, and the various databases of the usage analysis apparatus 100 described above is merely an example. The layout of various functional units, various processing units, and various databases can be changed to an optimal layout from the viewpoints of the performance of hardware and software included in the usage analysis apparatus 100, processing efficiency, communication efficiency, and the like.

Further, the configuration of the database (schema or the like) described above can be flexibly changed from the viewpoints of efficient use of resources, improvement of processing efficiency, improvement of access efficiency, improvement of search efficiency, and the like.

1 system to be analyzed, 2 base terminal, 3 server device, 4 bases, 5 communication network, 10 information processing device, 30 log information, 100 usage status analysis device, 111 log information acquisition unit, 112 operation information generation unit, 114 information setting Department, 115 actual usage information generation unit, 116 base group selection unit, 117 instance information generation unit, 118 business flow generation unit, 151 program operation information, 152 program/function correspondence table, 153 user/base correspondence table, 154 actual usage information 155 instance information, 1000 site-specific workflow display screen, 1100 site-specific workflow display screen

Claims (15)

A processor and memory,
Operation information acquired from an information processing system of an analysis target that provides a plurality of user objects used by a plurality of user entities, operation information including information on a usage history of the user objects of the user entity, and the usage in a predetermined period. A storage unit that stores, for each subject, a usage frequency index that is an index indicating the usage frequency of each of the plurality of user objects,
A usage subject selection unit that selects a plurality of the usage subjects based on the usage frequency index,
A mode in which, based on the operation information, a business process flow chart which is information indicating the flow of the user object used by each of the selected plurality of use subjects is generated, and the generated business process flow charts can be compared with each other. A business flow generation unit that generates output information including the information shown in
An apparatus for analyzing the actual state of use of an information processing system, comprising: It is a utilization actual condition analysis device of the information processing system according to claim 1,
The usage subject selection unit, based on the usage frequency index of each of the user object constituting the business flow chart, obtain the similarity of the usage tendency of the user object of the usage subject, based on the similarity, The usage subject is grouped into a plurality of groups in which the similarity exceeds a preset threshold value, and the usage subject is selected in units of the group.
A device for analyzing the actual usage of information processing systems. It is a utilization actual condition analysis device of the information processing system according to claim 1,
The business flow generation unit generates the output information including information indicating a difference in a user object between the business flowcharts of the selected usage subjects in a manner that can be compared.
A device for analyzing the actual usage of information processing systems. It is a utilization actual condition analysis device of the information processing system according to claim 1,
The business flow generation unit generates the output information including information indicating a difference in execution sequence of user objects between the business flowcharts of the selected usage subjects in a manner that can be compared.
A device for analyzing the actual usage of information processing systems. It is a utilization actual condition analysis device of the information processing system according to claim 1,
The storage unit stores information about a case processed according to the business process flowchart,
Based on the information, further comprising a business index calculation unit that obtains a business index that is information indicating at least one of the required time for the business of the user, the business quality, and the required man-hours,
The business flow generation unit generates the output information including information indicating each business index of the selected usage subject in a comparable manner.
A device for analyzing the actual usage of information processing systems. It is a utilization actual condition analysis device of the information processing system according to claim 5,
The business flow generation unit generates the output information including information in which the business flow charts are arranged in the order of the business indexes.
A device for analyzing the actual usage of information processing systems. It is a utilization actual condition analysis device of the information processing system according to claim 5,
The business flow generation unit generates the output information including information that emphasizes a user object that has a high correlation with the business index among the user objects that form the business flowchart.
A device for analyzing the actual usage of information processing systems. It is a utilization actual condition analysis device of the information processing system according to claim 5,
The work index is information indicating the required time,
The work index calculating unit obtains, as the work index, an average value of required times when the case is processed according to the work flowchart.
A device for analyzing the actual usage of information processing systems. It is a utilization actual condition analysis device of the information processing system according to claim 5,
The work index is information indicating the work quality,
The business index calculation unit obtains, as the business index, a ratio of cases where rework occurs to the total number of cases when a plurality of the cases are processed according to the business flowchart.
A device for analyzing the actual usage of information processing systems. It is a utilization actual condition analysis device of the information processing system according to claim 5,
The work index is information indicating the required man-hours,
The business index calculating unit obtains a value obtained by dividing the total number of the cases processed according to the business flowchart in a predetermined period by the number of persons involved in the processing as the business index,
A device for analyzing the actual usage of information processing systems. The use actual condition analysis device according to any one of claims 1 to 10,
The use subject is a base where a user object of the information processing system to be analyzed is provided.
A device for analyzing the actual usage of information processing systems. The use actual condition analysis device according to any one of claims 1 to 10,
Equipped with a display device,
The business flow generation unit displays the output information on the display device,
A device for analyzing the actual usage of information processing systems. The information processing device
Operation information acquired from an information processing system of an analysis target that provides a plurality of user objects used by a plurality of user entities, operation information including information on a usage history of the user objects of the user entity, and the usage in a predetermined period. Storing a usage frequency index, which is an index indicating the usage frequency of each of the plurality of user objects, for each subject;
Selecting a plurality of the usage subjects based on the usage frequency index,
A mode in which, based on the operation information, a business process flow chart which is information indicating the flow of the user object used by each of the selected plurality of use subjects is generated, and the generated business process flow charts can be compared with each other. Generating output information including the information shown in
A method for analyzing the actual state of use of an information processing system for executing. The method for analyzing the actual usage of the information processing system according to claim 13,
The information processing device, based on the usage frequency index of each of the user object constituting the business flow chart, obtain the similarity of the usage tendency of the user object of the user, based on the similarity, Grouping the usage subjects into a plurality of groups in which the similarities exceed a preset threshold value, and selecting the usage subjects in units of the groups,
A method for analyzing the actual state of use of an information processing system, which further executes. The method for analyzing the actual usage of the information processing system according to claim 13,
A step in which the information processing device generates the output information including information indicating a difference in a user object between the task flowcharts of the selected users
A method for analyzing the actual state of use of an information processing system, which further executes.

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