JP2011138247A - Program influence range verification method and device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a method and device for enabling a developer to easily recognize an influence range when reviewing the source code of a program. <P>SOLUTION: A verification device includes: a module extraction part; a source code characteristic determination part; and an output part. The module extraction part is configured to extract a module in which a source code is included from a program, and to define it as a first group, and to extract a module for executing processing which is the same type as that of the module in which the source code is included from the program, and to define it as a second group. The source code characteristic determination part is configured to compare the first group with the second group, and to determine the characteristics of processing where the source code is used for execution on the basis of the result of comparison, and the output part is configured to output the result of determination to a display device. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a software development method, and more particularly, to a method and apparatus for presenting a developer with a range of influence on an existing program at the time of partial remodeling.

  In large-scale systems such as railway operation management systems, once the system is built, it will be supported by partial modifications and modifications for 10 to 15 years, so the development method is based on the existing source code in terms of reliability and development period. The development of an extension that does not need to be modified is selected. However, when more than 10 years have passed since the system construction, the number of people who can overlook the system during that period due to the transfer or retirement of experts will decrease, and as a result, a huge black box will be created. As a result, for example, when a failure occurs in the processing in the black box, there arises a problem that a lot of man-hours are required for the failure countermeasure.

  In particular, social infrastructure systems such as railway operation management systems are strongly required to ensure the current reliability, so the above problem can be solved by converting the black boxed source code into a white box and re-creating it step by step. There is a strong demand now. However, in a system that has been developed for addition, the processing functions in the source code are redundantly scattered in the program, and it is necessary to simultaneously modify all the processing functions related to the processing function to be reviewed. On the other hand, the man-hours for review increase as the number of steps in the source code increases, so that the problem of overlooking the part to be reviewed also occurs when done manually.

  In view of these problems, there has been reported a method of detecting and excluding program parts that are no longer used in the process of changing specifications and reexamining them using only necessary program parts (Patent Document 1).

JP 2009-93239

  In Patent Document 1, parts that are no longer used from among program parts are extracted and excluded by paying attention to the dependency between program parts, thereby improving efficiency during program maintenance.

  However, in Patent Document 1, since it is determined as an unnecessary component only when there is no dependency relationship between program components, all the program components having a dependency relationship remain in the program as they are. In a large-scale system such as a railway operation management system, there are many program parts that are not used, but most of them are parts that have been added and used as copy sources during development. In other words, the unnecessary program parts generated by the additional development are the parts that have been enlarged from the beginning of the system development, so in the first place the unnecessary program parts are removed in a system with a large program scale, and the manual review efficiency is improved. It's hard to say.

  Accordingly, an object of the present invention is to provide a method for allowing a developer to easily determine the influence on a program component having a dependency relationship, specifically, an effect on an existing program when a processing function is revised or deleted. And providing an apparatus.

  In order to solve the above-described problems, the present invention provides a verification apparatus that includes a module extraction unit, a source code characteristic determination unit, and an output unit. The module extraction unit extracts a module including source code from a program. , A module for executing the same type of processing as the module including the source code is extracted from the program by the module extracting unit, and the module is extracted as a second group by the module extracting unit. The group is compared with the second group, the characteristics of the process used for execution of the source code are determined based on the comparison result, and the determination result is output to the display device by the output unit.

  According to the present invention, convenience in program development can be improved.

It is an example of a screen structure of the influence range verification apparatus in this embodiment. It is a software structural example of the influence range verification apparatus in this embodiment. It is a hardware structural example of the influence range verification apparatus in this embodiment. It is the whole processing flow of the influence range verification apparatus in this embodiment. It is a table structural example of the module table in this embodiment. It is a table structural example of the module table in this embodiment. It is a table structural example of the group table in this embodiment. It is a table structural example of the modification prohibition function table in this embodiment.

  A mode for carrying out the present invention will be described.

  FIG. 1 is a screen configuration example of an influence range verification device for a developer to grasp an influence range at the time of function modification. The screen of the influence range verification apparatus 100 includes a function selection window 110, an input window 120, and an output window 130. In the function selection window 110, the function structure of the target program is displayed so that it becomes a tree structure from the main sentence, and the developer selects the function to be modified from the tree structure in the function selection window 110 and inputs the input window 120. Register with.

  In FIG. 1, for example, functions Func1 and Func2 are arranged in the order in which they are called from the main function immediately below the main sentence, and Func1_1 and Func1_2 are arranged in the order in which Func1 is called from Func1.

  In the following, all functions are arranged in the same order that they are called from the upper function. It is assumed that all source codes of the target program are registered as input files in the affected range verification apparatus 100 in advance by the developer. Thus, when the developer selects the registered target program, the influence range verification device 100 can trace the source code from the main function and display the function in a tree structure.

  The input window 120 includes a selection function display unit 121, an add button 122, a selection function list 123, and an influence confirmation button 124. The function selected in the function selection window 110 is displayed on the selected function display unit 121, and is registered in the selected function list 123 by pressing an add button 122.

  In FIG. 1, for example, Func1_1_1 is selected by the developer as a function for studying remodeling, and Func1_1_1 is registered in the selected function list 124 as a function to be remodeled by pressing the add button 122. When the registration of all the remodeling target functions is completed, the influence range verification apparatus 100 starts verification of the characteristic judgment, remodelability, and influence range of all the remodeling target functions selected by pressing the influence confirmation button 124.

  The output window 130 includes an influence range 131, influence degrees 132 and 133, and a message 134. In the influence range 131, for all the functions registered in the selected function list 123, for example, a call relationship between a function to be modified and a function affected by the modification of the function to be modified (hereinafter referred to as an operand) has a tree structure. Is displayed.

  FIG. 1 shows an example in which the call relationship between the remodeling target function and the function is displayed. For example, by displaying using a data flow diagram, the influence on the data accompanying the remodeling and other functions via the data are shown. It is also possible to understand the impact on the environment. In this case, a data flow diagram corresponding to the target program needs to be registered in the influence range verification apparatus 100 in advance.

  The degree of influence 132 represents the degree of influence on the entire existing program when all the functions to be modified that are determined to be modifiable are modified, and the degree of influence 133 is the value when the individual functions that are determined to be modifiable are modified. It shows the degree of influence on the entire existing program. The influence levels 132 and 133 allow the developer to narrow down the functions to be reviewed while considering the development period. For example, in FIG. 1, 30% is displayed in the influence degree 132 and 10% is displayed in the influence degree 133. This is because the effect on the existing program when all the functions that are determined to be modifiable among the functions registered in the selected function list 123 are remodeled is 30%, and the existing program when only Func1_1_1 is remodeled. This means that the degree of influence is 10%.

  The message 134 is a caution message at the time of modification displayed as a pair with the influence degree 133. For example, in the example of FIG. 1, the influence 133 is as small as 10%, but the message 134 shows that it affects the entrance deadlock process with the replacement train. It is desirable to carry out a series of tests related to admission deadlock for collateral, and it can be determined that it takes time for test man-hours. On the other hand, if the degree of influence 133 is large but the common function used for the entire program is modified, for example, when a common function such as data input / output operation is modified, the data input / output of the common function may not change before and after the modification. If guaranteed, a link test with all relevant functions is not necessarily required. Thus, by displaying the message according to the characteristic of the modification target function in a pair with the influence degree 133, the developer can accurately narrow down the modification target function according to the development period and purpose.

  FIG. 2 shows a software configuration example of the influence range verification device 100, which includes a screen input unit 210, a related module extraction unit 220, a function characteristic determination unit 230, a modification possibility determination unit 240, an influence degree calculation unit 250, and a screen output unit 260. Consists of.

  The screen input unit 210 reads all functions registered in the selected function list 123 as an event when the influence confirmation button 124 is pressed and the highest function of each function (a function immediately below the main function) as inputs, and notifies the related module extraction unit 220 of them. .

  The related module extraction unit 220 refers to the module table 221. The module table 221 is a table showing the correspondence between the functional modules of the railway operation management system, the function structure corresponding to each functional module, and the processing group identification information. The processing group is a group of functional modules having common processing such as entrance control, departure control, and deadlock judgment in the functional modules of the railway operation management system.

  The module table 221 is created for each target program. When the target program is registered in the influence range verification apparatus 100, the developer may register the correspondence between the function module and the function structure and the processing group identification information together.

  When the related module extraction unit 220 receives the notification from the screen input unit 210, the related module extraction unit 220 uses the same function as the function registered in the selection function list 123 read by the screen input unit 210 from the function structure registered in the module table 221. Search and extract all functional modules associated with the matching location. Further, the top-level function read by the screen input unit 210 is searched from the module table 221, and one piece of processing group identification information associated with the matched location is extracted and notified to the function characteristic determination unit 230.

  The function characteristic determination unit 230 refers to the group table 231. A plurality of processing groups are registered in the group table 231, and functional modules having processes common to each other in the railway operation management system are registered in each processing group. For example, the station admission control process in the single line section of the main line passing train and the station admission control process in the single line section of the main line stop train have the same admission control process in that the admission signal is controlled when entering the train. In such a case, these two functional modules belong to the same processing group.

  When the function characteristic determination unit 230 receives the notification from the related module extraction unit 220, the function characteristic determination unit 230 extracts the functional module group in the processing group registered in the group table 231 based on the identification information of the processing group extracted by the related module extraction unit 220. Then, the characteristic of the function read by the related module extracting unit 220 is determined from the collective logic with the functional module group extracted by the related module extracting unit 220.

  If the function is determined to be a process-dependent function, the function characteristic determination unit 230 notifies the determination result to the remodelability determination unit 240. The modification permission determination unit 240 refers to the modification prohibition function table 232. In the modification prohibition function table 232, a group of functions that the developer wants to prohibit modification is registered for reasons such as processing complexity and modification risk. The group table 231 and the modification prohibition function table 232 exist for each target program, and may be registered together by the developer when the module table 221 is registered.

  The remodelability determination unit 240 determines whether or not a function that exists higher in the direction from the function toward the highest function read by the related module extraction unit 220 is registered in the remodeling prohibition function table 232. If the function is registered, it is determined that the function cannot be modified. If the function is not registered, the function is determined to be modifiable, and the influence degree calculation unit 250 is notified.

  When the function characteristic determination unit 230 determines that the function is a processing-independent function, the function characteristic determination unit 230 notifies the influence degree calculation unit 250 without making a determination using the modification prohibition function table 232. It should be noted that the process by the remodelability determination unit 240 may be performed before the process by the function characteristic determination unit 230. In this case, first, the modification permission determination unit 240 determines whether the function can be modified using the modification prohibition function table 232, and when determining that the modification is possible, notifies the function characteristic determination unit 230 of the determination result. The function characteristic determination unit 230 determines the characteristic of the function using the group table 231.

  The influence degree calculation unit 250 calculates the influence degree for the function that the function characteristic determination unit 230 determines to be processing-independent and the function that the remodelability determination unit 240 determines that remodeling is possible. At this time, not only the function but also all functions existing at the upper level from the function toward the highest function are calculated, and the influence degree is calculated. When the influence degree calculation is completed for all functions read by the screen input unit 210, the influence degree when all the functions finally determined to be modifiable are remodeled is calculated and notified to the screen output unit 260. The screen output unit 260 displays on the output window 130 the result determined by the modification possibility determination unit 240 and the influence calculated by the influence calculation unit 250. The screen input unit 210 and the screen output unit 260 may be configured to input / output by connecting to another display device different from the influence range verification device 100.

  FIG. 3 is a hardware configuration example of the influence range verification apparatus 100. The influence range verification device 100 includes a processor 310 that performs operations such as program execution, a basic program and basic data such as an OS (Operating System), a screen input unit 210, a related module extraction unit 220, a function characteristic determination unit 230, and a modality determination unit. 240, ROM 320 for storing the program for realizing the influence degree calculation unit 250 and the screen output unit 260, as a temporary storage region for data such as a processing region at the time of program execution, a related characteristic determination result of a function to be reviewed, a remodelability determination result, etc. A RAM 330 to be used, a mass storage device interface 340 for connecting to a mass storage device 341 such as an HDD (Hard Disk Drive), and an external device interface for connecting to an external device 361 such as a keyboard, mouse, display, etc. 60, a communication interface 350 for connecting to a communication device 351 such as Ethernet (registered trademark) and a wireless communication device interface 370 for connecting to a wireless communication device 371 such as a wireless LAN are connected via a bus 300. . A configuration including the mass storage device 341 and the external device 361 may be the influence range verification device 100.

  The large-capacity storage device 341 stores various tables such as a module table 221, a group table 231, and a modification prohibition function table 232, and source codes of target programs, which are read and used by various programs stored in the ROM 320. . Alternatively, at least a part of the programs constituting the screen input unit 210, the related module extraction unit 220, the function characteristic determination unit 230, the modification possibility determination unit 240, the influence degree calculation unit 250, and the screen output unit 260 are also stored in a large capacity. It may be stored in the device 341. When executing various processes, the processor 310 reads the data into the RAM 330 and executes the program.

  The external device 361 is an interface device with a developer and a drive device that can read and write to an external medium. For example, the developer can select the function to be reviewed through an input device such as a keyboard, a mouse, or a touch panel. In addition, data is input / output to / from an external device 361 that is removable and portable.

  The communication device 351 and the wireless communication device 371 can be connected to other devices such as a server device via a network. In the example of FIG. 3, the influence range verification apparatus 100 is assumed to be a general-purpose computer such as a PC / AT compatible machine. However, the influence range verification apparatus 100 is realized by a portable terminal such as a PDA (Personal Digital Assistant) or a dedicated device. In such a case, the source code and various tables of the target program may not be stored in the affected range verification device 100 for reasons such as security and HDD capacity. In such a case, it is conceivable to store the source code and various tables of the target program in a server device (not shown) installed on the in-house network.

  The communication device 351 and the wireless communication device 371 are configured assuming such a case, and the influence range verification device 100 uses these communication devices to access source codes and various tables stored in the server device. Can do.

  A program for realizing each functional unit may be stored in the ROM 320 or the mass storage device 341 in advance, or the ROM 320 or the mass storage device from another device via an available medium as necessary. 341 may be introduced. The medium refers to, for example, a storage medium that can be attached to and detached from the external device 361, or a communication medium such as a network, a carrier wave that propagates through the network, and a digital signal.

  FIG. 4 is an overall processing flow for determining the characteristics of the function to be reviewed, whether or not to modify, the influence range, and the influence degree in this embodiment. The processing described below is realized by a program executed by the RAM 330 by the processor 310 included in the influence range verification apparatus 100. And this program is comprised from the code | cord | chord for performing the various operation | movement demonstrated below.

When the screen input unit 210 accepts an event from the influence confirmation button 124, all the functions registered in the selected function list and the highest function of each function are read and notified to the related module extraction unit 220 (step 401).
The related module extraction unit 220, the function characteristic determination unit 230, the remodelability determination unit 240, and the influence degree calculation unit 250 perform a related module extraction process, a function characteristic determination process, a remodelability determination process for all the functions read in step 401, An impact calculation process is executed (step 402).
The related module extraction unit 220 searches the module table 221 for the same function as the read function, and extracts the corresponding functional module (step 403). The processing in step 403 will be described in detail below.

First, the module table 221 is shown in FIGS.
FIG. 5 shows a part related to the classification of functional modules related to the route control function of the railway operation management system in the module table 221, and includes a large classification 501, a small classification 502, and a module # 503. The route control function in the railway operation management system is a function to determine the route of the train by controlling the ground equipment such as traffic lights and levers for each target train, section, station entrance and departure, Generally, as shown in the large classification 501, the trains are classified into main line passing trains, main line stop trains, replacement trains, and station entry and departure for each single line section and double line section. In addition, in the entrance function and the departure function, deadlock judgment processing with other trains is performed before carrying out ground facility control.

  For example, in the main line single line passing entrance function, deadlock judgment is performed with the replacement train, arrival number line existing train, departure number line existing train, oncoming train, and main line single line stop entry function is used for the replacement train, arrival number line existing train, Deadlock judgment with oncoming train is performed, deadline judgment with main line single line stop departure function is performed with exchange train, passing train, oncoming train, and main line double line passing entrance function with replacement train, arrival number line existing train The deadlock judgment with the departure train on the departure number line is carried out, and the deadlock judgment with the arrival train on the main line double line stop is carried out on the double line stop entry function on the main line, and the replacement train and passing train on the departure function on the main line double line stop The deadlock judgment between the main train and the arrival number train is performed in the replacement entrance function, and the main train and departure number in the replacement departure function. Deadlock judgment is carried out of the line train.

  After each deadlock determination is made for each entry function and departure function, if it is determined that there is no deadlock between trains, control permission is issued to the interlocking device that directly controls the ground equipment such as traffic lights and levers. .

  Identification information corresponding to the small category 502 is registered in the module # 503. For example, module # 1-1 is used for deadlock determination processing for the main line single-passage entrance function, module # 1-2 is used for entrance control processing, and module # 2-1 is used for deadlock determination processing for the mainline single-line stop entrance function. Module # 2-2 is used for the entrance control process, module # 3-1 is used for the deadlock determination process for the main line single-line stop departure function, module # 3-2 is used for the start control process, and the main line double-track passing entrance function is used. Module # 4-1 is used for the deadlock determination process, module # 4-2 is used for the entrance control process, module # 5-1 is used for the deadlock determination process of the main line double-track stop entry function, and module # 5-1 is used for the entrance control process. # 5-2 is module # 6-1 for the deadlock determination process for the main line double-track stop departure function, and module # 6-2 for the departure control process. Module # 7-1 is used for the determination process, module # 7-2 is used for the entrance control process, module # 8-1 is used for the deadlock determination process for the replacement departure function, and module # 8- is used for the departure control process. 2 is registered. In addition, since the functional module classified by the large classification 501 and the small classification 502 is a functional module common to a railway operation management system, it does not need to produce | generate for every object program.

  FIG. 6 shows the corresponding parts of the hierarchical function structure 601 and processing group 602 corresponding to each functional module # 503 shown in FIG. For example, Func1 is registered in the highest function corresponding to the functional module of module # 1-1, and Func1_1 and Func1_2 are registered as functions called from Func1. Similarly, all functions to be called are registered in a hierarchy. This means that the main line single line entrance function is realized by Func1 and all the functions under it. For example, group identification information G # 3 is registered in the processing group 602. The group identification information is information for identifying a group registered in the group table 231.

  A configuration example of the group table 231 is shown in FIG. The group table 231 includes a group # 701 and a module # 702. Group # 701 is group identification information, and functional modules registered in module # 702 have overlapping processes. For example, module # 1-2, module # 2-2, module # 4-2, module # 5-2, and module # 7-2 are registered in group G # 1, and this is a function for performing entrance control. It means a group composed of modules. That is, all the functional modules registered in the group G # 1 commonly include control processing such as in-site signal control.

  In the group G # 2, module # 3-2, module # 6-2, and module # 8-2 are registered, which means that the group is configured by a functional module group that performs departure control. That is, all functional modules registered in the group G # 2 include control processing such as departure signal control.

  Module # 1-1, module # 3-1, module # 7-1, and module # 8-1 are registered in group G # 3, and this is a function for performing a deadlock judgment at the time of entering and leaving a single track train It means a group composed of modules. In other words, the function modules registered in the group G # 3 include an entrance deadlock process and a departure deadlock process for a replacement train and a main line train in a single track section.

  Module # 2-1 and module # 7-1 are registered in group G # 4, which means that the group is composed of functional module groups that perform deadlock determination when entering a single track train. That is, the function module registered in the group G # 4 includes the entrance deadlock process for the replacement train and the main train in the single track section.

  Module # 4-1, module # 6-1, module # 7-1, and module # 8-1 are registered in the group G # 5, and this is a function for performing a deadlock judgment at the time of entering and leaving a double track train. It means a group composed of modules. In other words, the function modules registered in the group G # 5 include an entrance deadlock process and a departure deadlock process for a replacement train and a main line train in a double track section.

  Module # 5-1 and module # 7-1 are registered in group G # 6, which means that the group is composed of functional module groups that perform deadlock determination when entering a double-track train. That is, the function module registered in the group G # 6 includes an entrance deadlock process for the replacement train and the main train in the double track section.

  Returning to the description of the processing in step 403, when the related module extraction unit 220 receives, for example, Func1_1_1 as a function read from the screen input unit 210, all the functional modules in which Func1_1_1 are registered from the function structure 601 of the module table 221. Extract. For example, in FIG. 6, since Func1_1_1 is registered in module # 1-1 and module # 7-1, module # 1-1 and module # 7-1 are extracted as a function group (F).

  When the related module extraction unit 220 receives, for example, Func1 as one of the highest-level functions read from the screen input unit 210, the related module extraction unit 220 searches for a functional module in which Func1 is registered from the function structure 601 of the module table 221 (module # 1). -1) G # 3 is extracted as identification information of the processing group in which module # 1-1 is registered. After extracting the function group (F) and the processing group (P), the function characteristic determination unit 230 is notified.

The function characteristic determination unit 230 confirms the set logic of the function group (F) and the processing group (P), and determines the function characteristic according to the confirmation result (step 404).
That is, for example, if F⊃P, it is determined that the read function is not a function for executing a specific route control process, but a process-independent function used in common for a plurality of processes such as data input / output operations. Otherwise, it is determined as a process-dependent function used for executing a specific course control process.

  Since function modules having overlapping processes are registered in the processing group, when the determination result is F⊃P, the read function is used for all the function modules registered in the processing group. It is also used for other function modules. Such a function can be determined as a process-independent function.

  Even in the case of a process-dependent function, if (FΦP ≠ Φ) ∩ (F∪P ≠ F, P), for example, control permission to the interlocking device or commander commonly used between processes Judged to be a common function such as a warning display. Φ is an empty set. This means that the read function is used by some function modules in the processing group, and is also used by function modules in other processing groups. For example, various control processes such as control permission and warning display are performed. As a result of dividing the function for each target train and single line / double line section with respect to a common function that outputs the results, the result of the set logic of (F∩P ≠ Φ) ∩ (F∪P ≠ F, P) is shown. Can be considered.

  Moreover, even if it is such a function, when it does not distinguish a function for every object train or single track / double track section, it becomes a result of F⊃P, and in this case, it is determined as a process-independent function.

  When F⊂P or F = P, it is determined as a process-dependent control function used in entrance control, departure control, or the like. In the case of F 処理 P, even if the functional modules are registered in the same processing group, it means that the overlapping processing is different for each target train. Even if the function modules are different, the deadlock process is different because the target train is different between the entrance deadlock process for the replacement train and the passing train and the departure deadlock process for the departure train and the passing train. Thus, when paying attention to the target train, if different judgment processes are mixed in the group, a result of F⊂P is obtained. The above result may be avoided by registering the functional module group to be registered in the group table 231 in advance so that different processes are not completely mixed.

  The case of F = P means that the read function is registered only in the function module group in the processing group, and therefore depends on a specific control process such as deadlock or entrance control or departure control. It can be determined as a control function. If the functional module belongs to a plurality of processing groups, the functional module may be determined from the logical sum of all the processing groups to confirm the collective logic.

  If the read function is a process-independent function or a common function based on the above set logic result, the function characteristic determination unit 230 notifies the influence calculation unit 250 of the determination result. If it is a process-dependent control function, it is notified to the remodelability determination unit 240, and the remodelability determination unit 240 performs verification using the remodeling prohibition function table 232 (step 405).

  A modification prohibition function table 232 is shown in FIG. The modification prohibition function table 232 includes a modification prohibition function 801. The modification prohibition function 801 is a function that a developer wants to prohibit modification, and is a function that has been understood from experience that the risk associated with modification is very high. The modification prohibition function 801 may be registered in advance in the modification prohibition function table 232 by the developer. In FIG. 8, for example, Func3, Func5_4_3, Func10_2_1, and the like are registered as remodeling prohibition functions.

  The remodelability determination unit 240 verifies whether or not a function determined as a control function by the set logic of the function group and the processing group is registered in the remodeling prohibition function table 232 and, if registered, to the function. Judgment is impossible. If it is not registered, it is verified whether or not a function one level higher than the function is registered in the modification prohibition function table 232. In the same manner, the verification is advanced to the highest function, and if the upper function is registered in the modification prohibition function table 232, it is determined that the function cannot be modified.

  For example, when the function read by the screen input unit 210 is Func1_1_1, Func1_1 and Func1 which is the highest function are not registered in the remodeling prohibition function table 232, and it is determined that Func1_1_1 can be remodeled. On the other hand, when the function read by the screen input unit 210 is Func3_1_1, Func3, which is the highest function, is registered in the remodeling prohibition function table 232, and it is determined that Func3_1_1 cannot be remodeled. When the determination of whether or not the function read by the screen input unit 210 has been modified is completed based on the determination described above, the modification determination unit 240 notifies the influence calculation unit 250 of the result.

  When the function characteristic determination unit 230 determines that the function is independent of processing or a common function, or when the modification possibility determination unit 240 determines that the function can be modified, the influence degree calculation unit 250 determines the degree of influence R on the program associated with the function modification. Is calculated according to the following equation (step 406).

ここでjは対象プログラムの中で改造対象となる全関数の数で、Ｎ_ｉはi番目の関数直下で呼び出される全関数の数で、ｎ_ｉはi番目の関数直下で呼び出される関数の中で改造対象となる関数の数である。αは重み係数で、０＜α≦１の範囲で設定できる。

Where j is the number of all the functions to be remodeled object in the target program, the number of all functions N _i is called in the i-th function immediately below, n _i is in a function to be called by the i-th function just below This is the number of functions to be modified. α is a weighting factor and can be set in the range of 0 <α ≦ 1.

  Equation (1) calculates the ratio of the degree of influence (number of remodeling functions / number of functions to be called) for each function of the target program and takes the total product of all the functions to be remodeled. Is derived so that the lower the hierarchy is, the lower the influence is. This is because the hierarchy tends to become deeper in the order of processing-independent function> common function> control function, and the influence of the shallower function tends to increase. Also, by setting the weight for each function, it is possible to make a difference in the degree of influence for each function. As a result, for example, when there is a function that is assumed to have a great influence on the modification in the control function and a function that is not so, it is possible to make a difference in the degree of influence of both functions. Since the degree of influence is used as an index for developers to estimate the development man-hours, if a function for which the degree of influence is clearly known to be small is set in advance, Good. As a result, the developer can estimate the development man-hour based on the degree of influence without confusion.

For example, when remodeling Func1_1_1, among the functions registered in the module table 221, the remodeling target functions are Func1, Func1_1, Func7_1, Func7, and the main function, and j = 5. Also, α = 1, the number of functions immediately below the main N ₁ = 5, the number of functions immediately below Func ₁ N ₂ = 2, the number of functions immediately below Func 1_1 N ₃ = 1, the number of functions directly below Func 7 N ₄ = 1, Func 7_1 If the number of functions immediately below N ₅ = 1, the influence is calculated as 10%. When the influence degree calculation unit 250 calculates the influence degree for each function read by the screen input unit 210, the function that is determined to be remodelable among all the functions read by the screen input unit 210 next time. Is calculated using the equation (1) (step 407), and the calculation result and the determination results of the function characteristic determination unit 230 and the modification possibility determination unit 240 are notified to the screen output unit 260.

  When the screen output unit 260 receives a notification from the influence degree calculation unit 250, the screen output unit 260 outputs a message according to the determination results of the function characteristic determination unit 230 and the modification possibility determination unit 240. Further, the influence degree and the influence range are displayed on the output window (step 408).

  For example, if it is a process-independent function, a message such as “There is no direct influence on the course control process, but please perform the input / output test of the function to be modified comprehensively” is displayed. For example, if it is a common function, a message such as “There is an effect on the course control processing, but if the input / output test of the function to be modified is exhaustively performed, there is no problem” is displayed. For example, if it is a process-dependent control function, a message such as “It is a modification of admission control processing. Please perform the admission control combination test comprehensively” is displayed. In the case of a control function, it is desirable to specify the process name of the affected range in the message text. The identification of the processing group used by the function characteristic determination unit 230 in the collective logic may be used to specify the processing name.

  As described above, according to this embodiment, the degree of influence and the scope of influence associated with function modification can be reviewed and a message can be presented to the developer according to the characteristics of the target function. You can select target functions and create test plans. For example, in the case of a process-dependent function included in a functional module with a very high risk of modification, it is possible to easily make a judgment that the existing source code is operated without modification this time. In addition, for example, even if the affected range extends to the entire program as a result of modification, if the modification target function is a processing-independent common function, the input / output of the function can be comprehensively tested to It can be easily determined that adverse effects can be prevented.

  In addition, since the range of influence on the existing program due to function modification can be grasped by displaying it in the function structure or data flow diagram, it is possible to grasp the scale of development and testing and easily estimate the development man-hours. By carrying out such development step by step, it becomes possible to transfer the source code that has been black-boxed into source code with good prospects while ensuring the current reliability.

  It should be noted that the present invention is not limited to the described embodiment, and can be modified as appropriate without departing from the spirit of the present invention.

  DESCRIPTION OF SYMBOLS 100 ... Influence range verification apparatus 210 ... Screen input part 220 ... Related module extraction part 221 ... Module table 230 ... Function characteristic judgment part 231 ... Group table 232 ... Remodeling prohibition function table 240 ... Remodeling possibility judgment part , 250 ... Influence degree calculation part, 260 ... Screen output part

Claims (9)

A verification apparatus is a program influence range verification method for verifying the influence of a source code included in a program on the program,
The verification device includes a module extraction unit, a source code characteristic determination unit, and an output unit,
A first step of extracting, from the program, a module including the source code by the module extraction unit to form a first group;
A second step of extracting, from the program, a module for executing the same type of processing as the module including the source code by the module extracting unit;
A third step of comparing the first group and the second group by the source code characteristic determination unit, and determining a characteristic of a process used for execution of the source code based on the comparison result; ,
A program influence range verification method comprising: a fourth step of outputting the determination result to a display device by the output unit. The program influence range verification method according to claim 1,
Based on the comparison result, the source code characteristic determination unit determines whether the source code is a code that needs to be linked with other source codes included in the program. Program impact assessment method. The program influence range verification method according to claim 1 or 2,
As a result of the comparison, if all of the modules constituting the second group are included in the first group and the first group and the second group have different configurations, the source code characteristics A program influence range verification method, characterized in that a determination unit determines that the sword code is a code that is commonly used to execute a plurality of processes. A program influence range verification method according to any one of claims 1 to 3,
If, as a result of the comparison, a part of the modules constituting the first group is included in the second group and the configurations of the first group and the second group are different, the source code A program influence range verification method, wherein a characteristic determination unit determines that the sword code is a code used in common for execution of a plurality of processes. A program influence range verification method according to any one of claims 1 to 4, comprising:
As a result of the comparison, when all the modules constituting the first group are included in the second group, the source code characteristic determination unit determines that the sword code is a code used to execute a specific process. A program influence range verification method characterized by determining that there is. A program influence range verification method according to any one of claims 1 to 5, comprising:
The verification device further includes an influence calculation unit,
A fifth step of calculating an influence degree of the source code on the program based on a hierarchy of the source code in the program by the influence degree calculation unit;
In the fourth step, the influence range is further output to the display device by the output unit. A program influence range verification method according to any one of claims 1 to 6, comprising:
The verification device further includes a modification possibility determination unit,
A sixth step of determining whether or not the source code is a code that is predetermined to be prohibited from being modified by the modification possibility determination unit;
In the fourth step, the program influence range verification method, wherein the output unit outputs the determination result by the remodelability determination unit to the display device. A program influence range verification method according to any one of claims 1 to 7,
The program is a program for executing a railway operation management system,
A program influence range verification method, wherein the source code characteristic determination unit determines whether or not the source code is a code used for a specific train route control process based on the comparison result. A program influence range verification device for verifying the influence of a source code included in a program on the program,
A module extraction unit, a source code characteristic determination unit, and an output unit;
The module extractor is
Extracting the module including the source code from the program as a first group,
A module for executing the same type of processing as the module including the source code is extracted from the program, and is set as a second group.
The source code characteristic determining unit compares the first group and the second group, and determines a characteristic of a process used for execution of the source code based on the comparison result;
The program influence range verification device, wherein the output unit outputs the determination result to a display device.

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