JP2017004178A - Estimation work test supporting system, method and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a technique capable of supporting work including a test in reference data revision associated with estimation work, enhancing efficiency of the test, and detecting an error of reference data in its early stage.SOLUTION: A first data analysis part 11 classifies a reference data group into a plurality of groups corresponding to differences of characteristics of the data. A second data analysis part 12 determines which group illegal reference data including an error corresponds to. A third data analysis part 13 stores a test item, corresponding to a check viewpoint related to error contents of the illegal reference data set based upon a user operation on a screen, in a test DB 40 associatively with the group. A fourth data analysis part determines which group input reference data to be tested corresponds to based upon a user's operation. A test item extraction part 17 extracts a test item related to the group that the reference data to be tested corresponds to. A test item output part 18 outputs it to the user.SELECTED DRAWING: Figure 1

Description

  The present invention relates to information processing technology. The present invention also relates to a technique for supporting work including a test at the time of revision of reference data related to integration work.

  A standard document for estimation has been issued by the government office regarding the estimation work for calculating the planned price for public works orders. Public construction costs are broadly divided into labor costs for humans, material costs for raw materials for construction, and mechanical loss costs for tool consumption. The amount of these costs is determined by each local government as labor unit price, material unit price, and mechanical loss unit price according to economic trends. The standard document includes standard information defined by packing a plurality of unit prices for each construction type. The standards are frequently revised regularly or irregularly in response to economic trends.

  The accumulating business system calculates a planned price or the like based on the revised reference data having the correct contents. When the standard document is revised, correspondingly, the standard data handled by the integrating business system also needs to be revised, that is, data updated in accordance with the content of the standard document. When the reference data is revised, a user who is an operator needs to enter, change, and confirm data. The reference data revision operation includes an operation for converting the contents of the reference document into data. As an operation for creating the reference data, the user interprets the meaning of sentences and tables described in the reference document and converts them into symbols, names, numerical values, and the like.

  For this reason, in the work by the user, there is a case where the content of the reference data is incorrect or illegal due to a human error such as an interpretation error or an input error. Therefore, when the reference data is revised, a test is required to check whether there is an error in the content, that is, whether it matches or is correct against the content of the reference document.

  Japanese Patent No. 4776932 (Patent Document 1) is cited as an example of the prior art that supports the work including the test at the time of the revision of the reference data related to the integration work. Patent Document 1 describes that, as a test support system, an update operation for an item that has not been updated is promoted based on a comparison of reference data before and after the revision and a match.

Japanese Patent No. 4776932

  The test method for revision of the reference data in the prior art is the same by applying a test item list including a plurality of test items including a prepared viewpoint to the revised reference data to be tested. Such tests are being conducted. The test item list incorporates points of caution and check points accumulated over many years of work.

  However, according to the conventional technique, tests are performed with uniform test items for any test target reference data, and therefore, the work is time-consuming for the user and requires a relatively long time. The greater the amount of test target reference data and the greater number of test items, the greater the workload. That is, the prior art has room for improvement in terms of test efficiency when the reference data is revised. There is a need to reduce the number of errors in the reference data by improving the efficiency of testing.

  An object of the present invention is to provide a technology that can improve the efficiency of testing and can detect errors in reference data at an early stage with respect to the technology that supports the work including the test at the time of the revision of the reference data related to the integration work. It is.

  A representative embodiment of the present invention is an accumulation work test support system that performs information processing to support work including a test at the time of revision of reference data related to accumulation work such as estimated work price, and has the following configuration It is characterized by having.

  An integration work test support system according to an embodiment includes a test support unit, a reference data DB that stores the reference data, and a test DB that stores information for supporting the work, the test support unit Classifies the reference data group of the reference data DB into a plurality of groups according to the difference in the characteristics of the data by the first data analysis, and stores the first information about the group and characteristics in the test DB. Based on the first data analysis unit and the first information, the fraudulent reference data including an error is classified according to the second data analysis to determine which of the groups corresponds, and second information related to the classification Is set based on the user's operation on the screen as a third data analysis based on the second data analysis unit storing the test DB and the second information. Based on a third data analysis unit that stores, as third information, a first test item corresponding to a check viewpoint related to an error content of reference data as third information, and the user's operation An input unit for inputting test target reference data; a fourth data analysis unit for classifying the test target reference data by classifying the test target reference data according to a fourth data analysis; and the test target reference data An extraction unit that extracts the first test item associated with the group corresponding to the third information from the third information, and an output unit that outputs the extracted first test item to the user. Have.

  According to a representative embodiment of the present invention, with respect to the technology that supports the work including the test at the time of revision of the reference data related to the integration work, the efficiency of the test can be improved, and the error of the reference data can be quickly detected. Can be detected.

It is a figure which shows the structure of the integrating | accumulating business test support system of one embodiment of this invention. It is a figure which shows the flow of an integration work test support process in embodiment. It is a figure which shows the outline | summary of the process from 1st data analysis to 3rd data analysis in embodiment. It is a figure which shows the outline | summary from test object reference | standard data input to test item output in embodiment. It is a figure which shows the outline | summary of the test process of the test part in embodiment. It is a figure which shows the structural example of the reference | standard data in embodiment. It is a figure which shows the structural example of the management information of reference | standard data in embodiment. It is a figure which shows the example of the group characteristic in embodiment. It is a figure which shows the structural example of the group characteristic table | surface in embodiment. It is a figure which shows the example of the past fraud criteria data in an embodiment, and the structural example of a past fraud classification table. It is a figure which shows the example of a screen at the time of a test item setting as a 1st example of a screen in embodiment. It is a figure which shows the structural example of the test item table | surface in embodiment. It is a figure which shows the example of a screen at the time of a test item output as a 2nd example of a screen in embodiment. It is a figure which shows the structural example of the test result information in embodiment.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. Note that components having the same function are denoted by the same reference symbols throughout the drawings for describing the embodiment, and the repetitive description thereof will be omitted.

  An integration work test support system according to an embodiment of the present invention will be described with reference to FIGS. The integration work test support method of the embodiment is a method having a procedure executed by the integration work test support system of the embodiment. The integration work test support program of the embodiment is a program that causes the integration work test support system of the embodiment to execute processing.

[Integration work test support system]
FIG. 1 shows the configuration of an integration work test support system according to an embodiment of the present invention. The integration work test support system is mainly composed of the terminal 1 and is linked to the integration work system 2.

  The totaling work test support system is a system that performs information processing that supports work including a test at the time of revision of reference data related to totaling work such as a planned construction price. The integration work test support system has a function of supporting a test in the previous stage for the production test and integration in the integration work system 2. The integration work test support system has a function of extracting and outputting effective test items corresponding to the characteristics of the reference data, and a function of supporting a previous test using the test items.

  The accumulation work system 2 is a system that supports the accumulation work for calculating the planned construction price and the like. The integrating business system 2 has a function of calculating a planned construction price and the like based on the reference data. The integration business system 2 has a function of supporting a production test related to reference data that has undergone a previous test in the integration operation test support system.

  The terminal 1 is an integration work test support terminal and is realized by a PC or the like. The terminal 1 includes an application 10, a test unit 20, a reference data DB 30, a test DB 40, and the like. A user who is an operator uses the terminal 1 and the application 10 to perform work including a test at the time of revision of reference data related to the integration work. Note that the terminal 1 may be realized by a server or the like. In this case, the user accesses the server from his / her client terminal and uses a service provided by the server.

  The application 10 is a program that constitutes an integration work test support tool. The application 10 has a function of managing reference data and a function of managing information for testing when the reference data is revised. The application 10 has a function of extracting and outputting effective test items according to the characteristics of the reference data.

  The application 10 accumulates and manages a plurality of past reference data in the reference data DB 30. The application 10 analyzes a plurality of past reference data and classifies them into groups according to the difference in characteristics. The application 10 analyzes past reference data including errors, determines which characteristic group it corresponds to, and classifies it. The application 10 manages test items set by the user based on the analysis result in the test DB 40.

  The application 10 inputs, as a test target, the revised version of the reference data whose contents have been updated by the user when the reference data is revised in accordance with the revision of the standard document. The application 10 determines which characteristic group the input test target reference data corresponds to, and extracts and outputs valid test items associated with the group from the test DB 40. The application 10 displays the effective test item on the screen so as to recommend it as a test item to be preferentially performed. Then, the application 10 links to a test using the test item.

  The valid test items to be output are test items corresponding to the check viewpoint added by the user based on the analysis of the past reference data. This effective test item is a test item that is presumed to have a high possibility of finding an error at an early stage by applying it preferentially in a test in the previous stage of the test target reference data.

  The test unit 20 is linked to the application 10 and has a function of supporting a previous test using valid test items. The test unit 20 is realized by program processing. The user preferentially applies valid test items output on the screen by the application 10, performs the previous test, and records the result of this test. The test unit 20 manages the previous test and manages the test result as test result information 21. The test unit 20 is linked to the application 10 and the integration business system 2 according to the test result.

  The test in the test unit 20 of the integration work test support system is positioned as a test in the previous stage relative to the production test in the integration work system 2. If there is an error in the content of the test target reference data, it is highly possible that the previous test can detect the error earlier than the actual test.

  If no error is found as a result of the previous test (OK), the test unit 20 links the test target reference data that has undergone this test to the integration work system 2. If an error is found as a result of this test (NG), the test unit 20 links the test target reference data to the application 10 and prompts the user to correct or retest the data.

  In the integration work system 2, the actual test and integration processing are performed based on the reference data that has been tested in the previous stage and linked from the test unit 20. In the actual test, detailed tests are performed using a number of existing test items.

  The terminal 1 includes a control unit, a storage unit, an input / output unit, a communication unit, and the like (not shown). The control unit controls the entire apparatus and executes processing of the application 10 and the test unit 20. The storage unit stores the reference data DB 30 and the test DB 40. The input / output unit includes an input / output interface to which an input device and an output device are connected, and provides a user interface including a screen to the user. The user performs input / output operations through the screen of the input / output unit. The communication unit is connected to the communication network and performs communication processing with the integrating business system 2.

  The application 10 includes, as processing units, a first data analysis unit 11, a second data analysis unit 12, a third data analysis unit 13, a data management unit 14, a test data input unit 15, a fourth data analysis unit 16, and a test item extraction. Section 17, test item output section 18, and setting section 19.

  The reference data DB 30 is a DB that stores a plurality of reference data. The data management unit 14 stores reference data in the reference data DB 30 and manages reference data management information. The reference data DB 30 stores and manages a plurality of past reference data for each version corresponding to the revision. In addition, in the reference data DB 30, past reference data including errors is stored and managed as illegal reference data separately from correct reference data including no errors.

  In the present embodiment, the reference data is composed of data of a plurality of elements. Each element is composed of data such as a table. In the present embodiment, the reference data is composed of a name table 31, a breakdown table 32, a condition table 33, a step table 34, a calculation table 35, and other tables as a plurality of tables.

  The test DB 40 is a DB that stores test support information. The data management unit 14 stores and manages information for test support in the test DB 40. The test DB 40 stores a group characteristic table 41, an unauthorized classification table 42, a test item table 43, test result information 21, a test item list 22, and the like.

  The reference data DB 30 and the test DB 40 may be outside the terminal 1, for example, in the integrating business system 2. In that case, the application 10 of the terminal 1 accesses the DB in the integration business system 2 to read / write information.

  The outline of the application 10 of the integration work test support system in FIG. 1 is as follows. Each unit such as the first data analysis unit 11 reads and writes data in the reference data DB 30 and the test DB 40 through the data management unit 14.

  The first data analysis unit 11 inputs a reference data group from the reference data DB 30 and performs a first data analysis process on the reference data group, thereby classifying the reference data group into groups according to differences in the characteristics of the reference data. The input reference data group is a plurality of past reference data that does not include errors, and is the reference data for each revised version. The first data analysis unit 11 performs cluster analysis as the first data analysis. The first data analysis unit 11 stores the result of the first data analysis in the group characteristic table 41.

  The second data analysis unit 12 inputs fraudulent reference data, which is past reference data including errors, from the reference data DB 30, and performs the second data analysis process, thereby converting the fraudulent reference data into the first data analysis result. It classifies by classifying which group corresponds to. The second data analysis unit 12 performs discriminant analysis as the second data analysis. The second data analysis unit 12 stores the second data analysis result in the fraud classification table 42.

  The third data analysis unit 13 sets test items as the third data analysis by the user based on the results of the first data analysis and the second data analysis. The third data analysis unit 13 assists the user in extracting past error contents of reference data, determining a check viewpoint, setting test items corresponding to the check viewpoint, and the like. The user confirms and extracts error contents and trends according to the characteristics of the reference data in accordance with the support information on the screen, and finds a check viewpoint that is lacking compared to the conventional one and a check viewpoint that seems to be highly effective. The user sets test items corresponding to the viewpoint on the screen. The third data analysis unit 13 stores the set test item in the test item table 43 in association with the group.

  The test data input unit 15 inputs test target reference data based on a user operation during a test associated with revision of the reference data.

  As the fourth data analysis, the fourth data analysis unit 16 discriminates and classifies which characteristic group the input test target reference data is close to. The fourth data analysis unit 16 performs discriminant analysis as the fourth data analysis in the same manner as the second data analysis.

  Based on the fourth data analysis result, the test item extraction unit 17 extracts the test items associated with the group corresponding to the test target reference data from the test item table 43 of the test DB 40.

  The test item output unit 18 outputs information including the extracted test items to the user. The test item output unit 18 displays a screen including test items and the like to the user, and links to the test support of the test unit 20.

  The setting unit 19 provides a setting screen related to the test support function of the application 10 to the user, and allows various setting information to be set based on a user operation on the screen. Examples of the setting information include a data analysis method and a determination threshold value.

  The test unit 20 performs processing for supporting the test in the previous stage in association with the test item and the screen output by the test item output unit 18. The user recognizes the test item on the screen, performs a test using the test item on the test target reference data, and inputs the test result on the screen. The test unit 20 stores the test result input on the screen in the test result information 21.

  If there is no error as a result of the test (OK), the test unit 20 links to the production test of the integration work system 2. When there is an error as a result of the test (NG), the test unit 20 confirms or corrects the test target reference data on the screen, and starts again from the data input, or performs the test again. To be notified. The user confirms and corrects the test target reference data accordingly, and starts over from the input of the test data input unit 15, for example, and performs the test again in the test unit 20.

[Processing flow]
FIG. 2 shows a processing flow in the application 10 of the terminal 1 of the integration work test support system. Hereinafter, steps S1 to S7 in FIG. 2 will be described.

  (S1) The first data analysis unit 11 performs a reference data classification process as the first data analysis process based on a user operation. Specifically, S1 includes S101 and S102.

  In S101, the first data analysis unit 11 reads and inputs a past reference data group that does not include an error, which is a first data analysis target, from the reference data DB 30 based on a user operation. The first data analysis unit 11 performs cluster analysis as the first data analysis on the input reference data group as a target, and thereby classifies the reference data group into groups corresponding to differences in characteristics.

  In the cluster analysis that is the first data analysis, the first data analysis unit 11 analyzes the ratio of data of a plurality of elements of the reference data, and classifies the data having similar characteristics into groups. The first data analysis unit 11 determines the ratio of the number of records as the ratio of the data amount in the plurality of tables of the reference data in the first data analysis. In other words, the record is row data. The group includes, for example, a group having a small number of rows as a whole, a group having a large number of rows, a group having a large number of rows only for specific elements such as conditions, and the like.

  In S102, the first data analysis unit 11 displays the result of grouping in S101 on the screen, and determines characteristics for each group based on a user operation. The user confirms the group classified by the application 10 on the screen, and confirms which element data ratio is large as the characteristics of each group. The user assigns a group name and the like on the screen, and determines characteristics for each group. The first data analysis unit 11 stores the result determined based on the user operation in the group characteristic table 41.

  FIG. 3 described later shows a configuration from the first data analysis to the third data analysis. FIG. 6 described later shows an example of the reference data group. Reference data management information is shown in FIG. 7 described later. FIG. 8 described later shows an example of group classification. A group characteristic table 41 is shown in FIG.

  (S2) The second data analysis unit 12 performs an illegal classification process as the second data analysis process based on a user operation. S2 includes S201 and S202 in detail.

  In S201, the second data analysis unit 12 reads out and inputs fraudulent reference data, which is past reference data including errors, which is the second data analysis target, from the reference data DB 30 based on a user operation. The second data analysis unit 12 performs discriminant analysis as second data analysis on the input fraud criterion data, thereby classifying the fraud criterion data by identifying which characteristic group it corresponds to. In discriminant analysis, fraudulent reference data generated by work at the time of past revision is distributed to groups of corresponding characteristics.

  In S202, the second data analysis unit 12 stores the result of S201 in the fraud classification table 42. In the second data analysis, the error content of the illegal reference data is accumulated for each group. In the second data analysis, the tendency that such an error occurs in the pattern of the reference data having this characteristic is grasped.

  FIG. 10 described later shows fraudulent reference data, an example of fraud classification, and a fraud classification table 42.

  (S3) The third data analysis unit 13 performs a test item setting process as the third data analysis process based on a user operation. S3 includes S301, S302, and S303 in detail.

  In the third data analysis, based on the results of the first data analysis and the second data analysis, the user extracts the error content of the illegal reference data and grasps the error tendency. The user pays attention to the error content and tendency of the fraudulent reference data, analyzes the cause and process of the error, and finds the check point that is insufficient in the conventional test and the check point that seems to be highly effective. The user, for example, compares the expression described in the standard document with an incorrect data expression different from the standard document registered in the standard data, and determines what cause or process caused the error. . In the third data analysis, test items corresponding to the check viewpoint added by the user are set in association with the group.

  In S301, the third data analysis unit 13 displays support information for setting test items on a screen based on a user operation. The third data analysis unit 13 displays on the screen, as support information, fraud classification information as a result of S1 and S2, information for setting a new test item, information for confirming an existing test item, etc. Is displayed. Based on the fraud classification table 42, the third data analysis unit 13 displays on the screen as to which characteristic group the past reference data including errors is classified as fraud classification information. As a result, work including extraction of error contents and determination of a check viewpoint by the user is supported.

  The third data analysis unit 13 extracts error contents of the fraudulent reference data based on a user operation. The user checks and extracts the error content of the fraudulent reference data while viewing the support information on the screen. The user can input information regarding the error content of the fraudulent reference data on the screen. In that case, the third data analysis unit 13 stores information on the error content in the fraud classification table 42.

  In S302, the third data analysis unit 13 sets a test item corresponding to the check viewpoint determined by the user on the screen based on the user operation. The user sets the content of the test item corresponding to the determined check viewpoint while viewing the support information on the screen.

  In S303, the third data analysis unit 13 stores the information such as the content of the test item input by the user in S302 in the test item table 43 in association with the information such as the group.

  FIG. 11 described later shows an example of a screen when setting the test item in S3. A test item table 43 is shown in FIG.

  The steps S1 to S3 can be performed at any time as long as they are before S4.

  (S4) The test data input unit 15 inputs the revised reference data to be tested based on a user operation. In this case, in detail, the user registers the revised reference data in the reference data DB 30. The user designates the test target reference data by inputting the reference data code on the screen. The test data input unit 15 reads test target reference data corresponding to the input reference data code from the reference data DB 30.

  (S5) As the fourth data analysis process, the fourth data analysis unit 16 performs the discriminant analysis in the same manner as S2 on the test target reference data input in S4. Categorize by determining if it falls into a group of characteristics. The fourth data analysis unit 16 outputs information indicating the corresponding group as the result information of the fourth data analysis.

  (S6) Using the result information of S5, the test item extraction unit 17 searches and extracts the test items associated with the group from the test item table 43 of the test DB 40.

  (S7) The test item output unit 18 configures a page including the test item extracted in S6 as support information, and displays a screen based on the page to the user. The user confirms the extracted test items on the screen. The test item output unit 18 is linked to the test support of the test unit 20.

  The test unit 20 supports a test using the test item output on the screen in S7 based on a user operation. The user performs the previous test according to the test item on the screen, and inputs the test result on the screen. The test unit 20 stores the input test result in the test result information 21.

  FIG. 13 described later shows an example of a screen when the test item is output in S7. FIG. 14 described later shows test result information 21.

[Test support processing (1)]
FIG. 3 shows a configuration from the first data analysis to the third data analysis as an outline of the test support processing in the application 10 of the terminal 1. The user activates the application 10 and performs work corresponding to the first data analysis to the third data analysis.

  In the first data analysis corresponding to S1 in FIG. 2, the first data analysis unit 11 stores the past reference data group from the reference data DB 30 through the data management unit 14 based on an input such as a user instruction on the screen. Is read and input. The first data analysis unit 11 performs cluster analysis as the first data analysis for the reference data group, and stores the result in the group characteristic table 41 of the test DB 40 through the data management unit 14.

  The data management unit 14 accumulates the group information, which is the first data analysis result, in the group characteristic table 41 of the test DB 40 every time the reference data is generated due to past and future revisions.

  In the second data analysis corresponding to S2 in FIG. 2, the second data analysis unit 12 uses the data management unit 14 to input past data including errors from the reference data DB 30 based on an input such as a user instruction on the screen. One or more fraudulent reference data as reference data is read and input. The second data analysis unit 12 performs discriminant analysis as second data analysis on the fraud criterion data, and stores the result in the fraud classification table 42 of the test DB 40 through the data management unit 14.

  The data management unit 14 accumulates the fraud classification information, which is the second data analysis result, in the fraud classification table 42 of the test DB 40 every time the fraud standard data generated in the past and future revisions occurs.

  In the third data analysis corresponding to S3 in FIG. 2, the third data analysis unit 13 receives information from the test DB 40 through the data management unit 14 based on an input such as a user instruction on the screen. Or, the information of the test item list 22 is read. The third data analysis unit 13 displays a screen including support information to the user using the read information. The user performs group classification of fraudulent reference data, confirmation of error content, and extraction on the screen. The user can confirm the error contents according to the characteristics of the reference data on the screen, and easily find out the check viewpoint and the like that are insufficient compared to the conventional one.

  On the screen, the user can set a new test item corresponding to the determined new check viewpoint in association with a group corresponding to the characteristic of the reference data. The new test item is a test item different from the existing test item in the test item list 22.

  Further, the user displays and confirms the existing test items in the test item list 22 on the screen, selects a test item from the existing test items, and sets the selected test item as the characteristic of the reference data. It can also be set as a test item in association with the corresponding group.

  The test item list 22 is a list of existing test items. When the user performs work by checking and referring to existing test items, the test item list 22 is used. Whether to use the function using the test item list 22 can be set by the user through the setting unit 19.

  The third data analysis unit 13 stores the test item information set on the screen by the user in the test item table 43 of the test DB 40 through the data management unit 14.

  The data management unit 14 registers and accumulates test items, which are the third data analysis results, in association with groups as valid test items in the test item table 43 of the test DB 40 every time the user performs third data analysis work. To do.

[Test support processing (2)]
FIG. 4 shows a configuration from test target reference data input to test item output as an outline of the test support processing in the application 10 of the terminal 1. The user activates the application 10 and performs operations corresponding to the test target reference data input to the test item output confirmation. The user inputs test target reference data to the application 10 and instructs extraction and output of valid test items for the previous test.

  The test data input unit 15 inputs the revised reference data to be tested based on a user operation. Specifically, the user creates revised reference data in accordance with the revision of the standard document, and registers the standard data in the standard data DB 30 through the data management unit 14. In this reference data, a reference data code is set. The data management unit 14 is a reference data management information, sets a reference data code for each reference data, and manages data of a plurality of elements constituting the reference data.

  Thereafter, the user designates the test target reference data by inputting the reference data code on the screen. The test data input unit 15 searches the reference data DB 30 using the input reference data code, and reads the test target reference data that is the corresponding reference data.

  The fourth data analysis unit 16 performs discriminant analysis on the input test target reference data, thereby determining and classifying which characteristic group the test target reference data corresponds to. The fourth data analysis unit 16 looks at the ratio of data of each element of the test target reference data. The fourth data analysis unit 16 refers to the group characteristic table 41 of the test DB 40. The fourth data analysis unit 16 determines a group close to the ratio of data of each element of the test target reference data. And the 4th data analysis part 16 outputs the information which shows the group which is a discrimination | determination result.

  The test item extraction unit 17 searches the test item table 43 of the test DB 40 through the data management unit 14 for the test item associated with the group, using the information indicating the group that is the determination result. Extract as The test item output unit 18 configures a page including the extracted effective test items as support information, and displays a screen based on the page to the user.

[Test support processing (3)]
FIG. 5 shows an outline of the test support process in the test unit 20 of the terminal 1. The user activates the test unit 20 and performs a test operation in the previous stage. The user confirms valid test items on the screen output by the application 10 as shown in FIG. The user performs the previous test according to the valid test items. The user compares the contents of the reference document 501 with the contents of the revised version of the reference data 502, which is the test target reference data, and performs a check from the point of view indicated by valid test items. Valid test items include, for example, a check point regarding the expression of the sign of the condition. In that case, the user checks whether the sign of the condition in the condition table 33 of the reference data 502 matches or is correct with respect to the condition described in the reference document 501.

  As a result of the test including the check, the user inputs on the screen whether or not there is an error, whether or not the check has been completed, and the like. The test unit 20 stores the input test result regarding the test target reference data in the test result information 21.

  When no error is found in the test result, the test unit 20 records as no error and a tested state for management in the test result information 21, and performs a revocation process. In addition, when an error is found in the test result, the test unit 20 records the error as an untested state in terms of management in the test result information 21.

  Based on the user operation and the test result information 21, the test unit 20 determines that the test results of all the test items on the screen are error-free and has been tested (OK). Link to system 2 production test. As a specific processing example of the linkage, the test unit 20 of the terminal 1 may notify the integration work system 2 of information on the tested reference data, or directly send the tested reference data. May be. Upon receiving the notification, the integration work system 2 and its user access the tested reference data in the reference data DB 30 and perform a production test and integration processing. Alternatively, when the integration work system 2 and the user receive the tested reference data, the integration operation system 2 and the user perform a production test and an integration process on the reference data.

  Based on the test result information 21, the test unit 20 prompts the user to confirm or correct the test target reference data on the screen when the test result of the test item has an error and has not been tested (NG). The test unit 20 prompts the user to start over from the data input in S4 of FIG. 2 or to perform the test in the test unit 20 again. The user inputs and corrects, for example, so that the sign of the condition in the condition table 33 of the reference data is correct according to the information on the screen. The user inputs the corrected reference data again through the test data input unit 15 described above. As a result, the processes of S4 to S7 described above are similarly performed on the corrected test target reference data, and valid test items are similarly displayed on the screen. The user performs the test again through the test unit 20 according to the information on the screen so that the test results of all the test items are OK.

[Reference data]
FIG. 6 shows a configuration example of the reference data. Reference data # 1 to # 6 are shown as examples of a plurality of past reference data. # 1 etc. indicates an identification number for explanation. In the present embodiment, the reference data includes a name, a breakdown, a condition, a step, a calculation, and the like as a plurality of elements. Each element is composed of a table including one or more records. Each element corresponds to the name table 31 to the calculation table 35 in FIG.

  Note that, as the content of the reference data, the reference for integrating the planned price and the like is configured by packing a plurality of element values. Based on these standard data with multiple elements, when a certain construction condition or construction type is specified, it is possible to calculate what kind of unit price is required in what quantity and how much it costs. Yes. At the time of revision, the content of the reference data is updated as follows, for example. The first construction type that was before the revision is changed to a second construction type that is different from the first construction type after the revision. Corresponding to the change, the data values of a plurality of packed elements in the reference data are changed.

  The rectangular size of each element shown in FIG. 6 corresponds to the data amount. Reference data # 1 shows an example in which the data amount of each element is about the same and the data amount is small overall. Reference data # 2 shows an example in which the ratio of conditions is large. That is, in the reference data # 2, only the data amount of the condition in the condition table 33 is larger than the data amount of other elements. Reference data # 3 shows an example in which the ratio of the step is large. That is, in the reference data # 3, only the data amount of the step in the step table 34 is larger than the data amount of other elements. Reference data # 4 shows an example in which the calculation rate is large. That is, in the reference data # 4, only the amount of data calculated in the calculation table 35 is larger than the data amount of other elements.

  Reference data # 5 shows an example in which the data amount of each element such as breakdown, condition, step, and calculation is large and the data amount is large overall. In many cases, elements such as names are fixed to one value, and the amount of data is not large.

  Reference data # 6 is an example in which the ratio of conditions is large, as is the case with reference data # 2. In addition, although not shown, there are various examples in which the data amount of the two elements, for example, breakdown and condition, is relatively large according to the reference data.

  In the first data analysis, the reference data # 1 is classified into the first group G1, the reference data # 2 is classified into the second group G2, the reference data # 3 is classified into the third group G3, and the reference data # 4 is classified into the fourth group G4, the reference data # 5 is classified into the fifth group G5, and the reference data # 6 is classified into the second group G2 like the reference data # 2.

  In the application 10, for the group classification method of the first data analysis, a determination logic and a threshold regarding the data amount of elements and the ratio thereof are defined in advance. For example, a logic and a threshold are defined such that when the data amount or the number of records in the condition table 33 is equal to or greater than the threshold, the data is classified into a specific group.

[Standard data management information]
FIG. 7 shows an example of reference data management information in the reference data DB 30. The table of reference data management information in FIG. 7 includes, as columns, row numbers indicated by #, “reference data code (file)”, “name”, “breakdown”, “condition”, “skid”, “calculation”, and the like. Have The “reference data code (file)” column indicates a reference data code, a file path, and the like. The file path may be a storage area address or the like. The “name” column indicates a code, an address, and the like of the name table 31. Similarly, the code and address of each element are shown up to the “calculation” column. In addition, although not shown, the reference data management information manages version information, error presence / absence information, and the like. Further, the reference data management information or the group characteristic table 41 may manage information such as the data amount of each element.

[Group characteristics]
FIG. 8 shows an example of classification into groups by the first data analysis corresponding to the example of FIG. Groups G1 to G6 are shown as examples of a plurality of groups. The name of the group G1 is set as “small”. As characteristics of the group G1, the amount of data in the entire reference data is small, and the number of rows in the table of each element is small. The name of the group G5 is set as “large”. As a characteristic of the group G5, the amount of data in the entire reference data is large, and the number of rows in a table of predetermined elements {breakdown, condition, step, calculation} is large. The name of the group G6 is set as “medium”. As a characteristic of the group G6, the amount of data in the entire reference data is medium, and the number of rows in the table of each predetermined element is medium. The amount of data increases in the order of “small” in group G1, “medium” in group G6, and “large” in group G5, and their boundaries are defined by thresholds and the like.

  The name of the group G2 is set as “conditional type”. As a characteristic of the group G2, the ratio of the condition data is large in the entire reference data. Only in the condition of the condition table 33, the number of rows is larger than the number of rows in other tables. A threshold for determining the amount of data in the condition table 33 is defined in advance. In the condition table 33 of the reference data # 2, for example, a plurality of conditions are stored as records for each row, such as “condition # 1” to “condition #n”. As a result, the amount of data in the condition table 33 is large.

  Similarly, the name of the group G3 is set as “stool type”. As a characteristic of the group G3, the ratio of the step data is large in the entire reference data. Only the number of rows in the table 34 is larger than the number of rows in other tables. Similarly, the name of the group G4 is set as “calculation type”. As a characteristic of the group G4, a ratio of calculation data is large in the entire reference data. Only in the calculation of the calculation table 35, the number of rows is larger than the number of rows in other tables.

  Although not shown, groups having other characteristics are similarly classified. Other groups include, for example, a group in which the ratio of the data amount of the predetermined two elements is large, a group in which the ratio of the data amount of the predetermined three elements is large, and the like.

  As in the above example, in the present embodiment, the plurality of groups classified by the first data analysis includes at least the following groups. (1) A group in which the ratio of data of a plurality of elements is approximately the same and the data amount of the plurality of elements is greater than or equal to a threshold value. (2) A group in which the ratio of data of a plurality of elements is approximately the same and the data amount of the plurality of elements is smaller than a threshold value. (3) A group having a large ratio of data of one specific element among a plurality of elements. (4) A group having a large ratio of data of a plurality of specific elements among the plurality of elements.

[Group Characteristics]
FIG. 9 shows a configuration example of the group characteristic table 41. The group characteristic table 41 of FIG. 9 has, as columns, a row number indicated by #, “group characteristic code”, “group characteristic name”, and “description”. The “group characteristic code” column stores a code for uniquely identifying the classified group and its data characteristic. The first data analysis unit 11 assigns a group characteristic code to the group. The “group characteristic name” column stores the name of the group and its characteristic. The user can set “group characteristic name”. The “description” column indicates a description regarding the group and its characteristics. The user can set a description in the “Description” column.

  In this example, the first row corresponds to the example of the group G1 into which the reference data # 1 of FIGS. 6 and 9 is classified, the group characteristic code is G1, and the group characteristic name is “small”. .

[Injustice standard data and injustice classification table]
FIG. 10A shows a configuration example of fraudulent reference data that is past reference data including errors. The fraud criterion data # 91 includes an error in the description of the condition in the condition table 33. That is, the conditions described in the condition table 33 of the fraudulent reference data # 91 are inconsistent or incorrect with respect to the conditions described in the corresponding revised standard document. As a cause of the error, there is a case where an error in reading / writing or interpretation has occurred with respect to the value or expression of the condition when the user views and inputs the reference data while viewing the reference document. As an example of a condition error, there is a case where “A is B or more” in the criteria document, whereas “A> B” is entered in the condition in the condition table 33. It is done.

  Similarly, the incorrect reference data # 92 includes an error in the step. Similarly, the fraud criterion data # 93 includes an error in at least one of the elements.

  In the second data analysis, the fraudulent reference data # 91 is classified into the group G2 because the ratio of the condition data is large. The fraudulent reference data # 92 is classified into the group G3 because the ratio of the data for the step is large. The fraudulent reference data # 93 is classified into the group G1 because the data of each element is small and has the same ratio.

  FIG. 10B shows a configuration example of the fraud classification table 42 corresponding to the example of FIG. The fraud classification table 42 in FIG. 10B includes, as columns, a row number indicated by #, “fault reference data code (file)”, “group characteristic code (classification)”, and “error content”. The “illegal reference data code (file)” column stores the reference data code, file path, etc. of the illegal reference data. The “group characteristic code (classification)” column stores the group characteristic code of the group classified by the second data analysis. The “error content” column stores an explanation of the error content that can be set by the user.

  In this example, the first line shows that the fraudulent reference data # 91 in FIG. 10A whose reference data code is 901 is classified into the group G2, and “error code” is the user's error content. Indicates that it is set. The second row indicates that the illegal reference data # 92 whose reference data code is 902 is classified into the group G3, and “the quantity of yield” or the like is set by the user as the error content.

[Test item setting screen]
FIG. 11 shows a test item setting example and a screen example thereof in the third data analysis corresponding to S3 of FIG. In S301 described above, the third data analysis unit 13 displays a screen as shown in FIG. 11 through the input / output unit. The screen in FIG. 11 includes a column 111, a column 112, and a column 113.

  A column 111 is a column for displaying an error content of past reference data, which is fraudulent reference data, based on the result of the second data analysis and confirming by the user. The column 111 displays information such as a reference data code, version, classification, error content, and the like. In the “version” section, the version or the date and time of revision corresponding to the version is displayed. In the “classification” part, a group characteristic code and a group characteristic name are displayed. In the “error content” part, the user can set by inputting an explanation of the error content. In the “error content” portion, an explanation is displayed when it has been set.

  The user can check the group 111 to which characteristic group the fraud criterion data is classified by looking at the column 111. The user can extract the error included in the fraud criterion data, enter the text of the descriptive text regarding the error content in the “error content” text input form, and set it with the “set” button.

  An example of extracting error contents and inputting them in the column 111 is as follows. As a result of the fraud classification in S2, the fraud criterion data # 91 in FIG. 10A is classified into the “conditional type” of the group G2. In S301, the error content of the illegal reference data is extracted by the user. In the illegal reference data # 91, the expression of the condition code is incorrect. In the condition table 33 of the fraudulent reference data # 91, a condition that does not match or is incorrect with respect to the condition described in the reference document (for example, “A is B or more”) is registered. In particular, as the expression of the sign of the condition, where “A ≧ B” or the like should be correct, “A> B” is erroneously set. The user inputs and sets an explanatory text of the extracted error content in the “error content” of the column 111 as illustrated. An example of the explanatory sentence is “Expression of the condition code is not correct. Correct:“ A is B or more ”→ A ≧ B, wrong:“ A is B or more ”→ A> B”, etc.

  A column 112 is a column for setting a new test item. The column 112 displays information such as test item codes, classifications, test contents, and the like. “Test item code” indicates a code for identifying a test item. The “classification” portion indicates to which characteristic group the test item is classified and associated. The “test content” portion can be set by the user by inputting a check viewpoint that is the content of the test item.

  Based on the error contents confirmed or extracted in the column 111, the user determines a check viewpoint that is lacking in the conventional test, and sets a new test item corresponding to the check viewpoint. In that case, the user can input an explanation of the test content in the text input form of “test content” in the column 112 and set it with the “set” button. The third data analysis unit 13 stores the test items set in the column 112 in the test item table 43 as valid test items.

  A setting example of the test item in the column 112 is as follows. For the error content extracted in the column 111, the user determines a check viewpoint that is insufficient in the conventional test, and adds a new test item corresponding to the check viewpoint. The user adds a check viewpoint that checks whether the expression of the condition described in the reference document is correct by comparing the expression of the condition in the condition table 33 of the reference data. In the column 112, the user sets a test item corresponding to the check viewpoint regarding the expression of the code of the condition. The user inputs and sets an explanatory text of the test content in the “test content” of the column 112. An example of the explanatory text is “check whether the expression of the condition code is correct.“ A is greater than or equal to B ”→ A ≧ B,“ A exceeds B ”→ A> B”, and the like.

  A column 113 is a column for confirming or selecting an existing test item for setting the test item. In a column 113, a test item list can be displayed and searched. The user can check the contents by displaying a list of test items and the test items of the search results in the column 113. The user can also set the test item selected from the test item list in the column 113 as an effective test item. In addition, the user can display valid test items that have been set in the test item table 43 in the column 113 and check or change their contents.

  The column 113 includes a search condition input column, a test item list, and a display column for the search result. When confirming an existing test item, the user displays the test item list or its search result to confirm. When a user searches for a test item, the user inputs a test item code, classification, keyword, or the like in the search condition input field. As a result, the test item corresponding to the search condition is displayed in the search result display field.

  When displaying the test item list, the third data analysis unit 13 refers to information from the test item list 22 of the test DB 40. The third data analysis unit 13 searches for a test item from the test item list 22. Although not shown, the test item list 22 stores information such as test item codes and test contents for each test item.

  A display example of the test item in the column 113 is as follows. When adding a test item related to the condition in the condition table 33 as in the example of the column 112, the user confirms the test item related to the condition among the existing test item list and the set valid test items. The user performs a search by entering, for example, “condition” in the search condition input field. In the search result column of the test item list, for example, an existing test item whose test item code is C301 and a newly set test item whose test item code is C3 are displayed as test items related to conditions. .

  Another example regarding the test item setting is as follows. The fraudulent reference data # 92 in (A) of FIG. 10 is categorized as the “stool type” of group G3. In the scale table 34 of the fraudulent reference data # 92, the quantity of the scale different from the quantity of the scale described in the standard document is registered. The user adds a check viewpoint in which the quantity of the yield described in the standard document is compared with the quantity of the yield in the scale table 34 of the standard data to check whether they match. In the column 112, the user sets a test item corresponding to the check viewpoint regarding the quantity of the step. An example of the description of “test content” in the column 112 is “check whether the quantity of the walks matches” or the like.

  Furthermore, when the test item selected by the user is set as an effective test item on the screen of FIG. The user displays a test item list or a search result thereof in the column 113. The third data analysis unit 13 displays check boxes, setting buttons, and the like (not shown) in the column 113 for each test item. The user selects a test item from the test items in the column 113 and presses the setting button. Thereby, the third data analysis unit 13 stores the selected test item in the test item table 43 so as to set it as an effective test item.

[Test item table]
FIG. 12 shows a configuration example of the test item table 43. The test item table 43 in FIG. 12 includes test item codes, group characteristic codes, serial numbers, and test contents as columns. The “test item code” column stores the aforementioned test item code. The “group characteristic code” column stores the group characteristic codes managed in the group characteristic table 41 described above. The “serial number” column stores serial numbers for a plurality of test items corresponding to the same group characteristic code. The “test content” column stores a description of the test content set by the user.

  In this example, the test item in the first row has a test item code C1 and is set in association with the “small” group G1, and the test content is “check whether it matches the name described in the reference document” "" The test item in the third row has the test item code C3, is set in association with the “condition type” group G2, and the test content is “double check of the condition pattern”. . The test item on the fourth line has a test item code C4 and is set in association with the “condition type” group G2, and the test content is “check whether the expression of the sign of the condition is correct. It has become. The test item in the fifth line has a test item code C5 and is set in association with the “Golden” group G3. "

[Test item output screen]
FIG. 13 shows an example of a screen when test items are output by the test item output unit 18 corresponding to S7 of FIG. In the screen example of FIG. 13, messages such as “Test item extraction result” and “Please test the following test items in order for the test target reference data.” Are displayed. Below that, information on valid test items extracted in S4 to S6 of FIG. 2 is displayed in order. For each valid test item, a test item code, a test content, a check box, and the like are displayed.

  In this example, information such as test items C3 and C4 is displayed based on the example of the test item table 43 of FIG. The first test item 131 indicates information on a first valid test item that should be performed with priority over the first. As the first test item 131, a test item C3 is displayed. The second test item 132 indicates information of a second effective test item that should be performed with priority over the second. As the second test item 132, a test item C4 is displayed. The test item C4 corresponds to the test item newly set in the column 112 of FIG.

  The user sequentially performs tests for each test item according to the test items on the screen of FIG. 13 and enters the test result for each test item. When the user confirms that no error is found and there is no problem as the test result of the test item, the user sets the test item to the tested state and turns on the check box of the test item. When recording the details of the test results for each test item, the user records the details by pressing a button (not shown). When the test is completed for all the test items, the user presses the completion button to end the process, and when the process ends in the middle, the user presses the stop button to end. The application 10 stores information in the test result information 21 according to the end state.

  By inputting an instruction on the screen shown in FIG. 13, the user can save the test item information on the screen in a file, print it, and output it to the integration work system 2. The test item output unit 18 outputs the information on the screen based on the test item table 43 to the user as a test item list, in other words, a check list, according to a user operation.

[Test result information]
FIG. 14 shows a configuration example of the test result information 21. The table of the test result information 21 in FIG. 14 includes information such as a reference data code of test target reference data, a test item code, a test result, a user, and date / time as management information. The “user” column stores information on the user who performed the test, and the “date / time” column stores information on the date / time of the test.

  In the “test item code” column, codes relating to the test items extracted and output as shown in FIG. 13 are sequentially stored. The “test result” column stores information indicating the test result. This information is, for example, a flag value indicating OK or NG or detailed information. The OK flag value indicates no error, tested, and the like. The NG flag value indicates that there is an error, no test, and so on. The detailed information is, for example, an explanation of the error content input by the user in the case of NG or data of the error part itself.

  The user can also check the test result by displaying the content of the test result information 21 as shown in FIG. 14 on the screen through the test unit 20 in the terminal 1.

[Effects]
As described above, according to the integration work test support system of the present embodiment, it is possible to improve the efficiency of the test with respect to the work support including the test at the time of the revision of the reference data, and the error of the reference data is made early. It can be detected.

  According to the present embodiment, the same test is not performed by applying a plurality of test items from a uniform viewpoint to all the reference data as in the prior art, but effective according to the characteristics of the reference data. It is possible to test by applying specific test items with priority. The effective test item corresponds to the test item added or selected by the user based on the analysis of the reference data, and is a test item estimated to have a high possibility of finding an error.

  The application 10 extracts and outputs valid test items according to the characteristics of the reference data. The application 10 extracts the test items set by the user as effective test items. Alternatively, the application 10 extracts test items selected and narrowed down from a plurality of existing test items as effective test items. The terminal 1 can perform a test to which the effective test item is applied as a test before the actual test in the integration business system 2. Thereby, when an error is included in the test target reference data, there is a high possibility that the error can be detected early in the previous test. If an error and the corresponding incorrect reference data can be detected at an early stage, the man-hours required for correcting or testing the reference data can be reduced. Therefore, the efficiency of the entire work including the test can be improved, the labor of the worker can be reduced, and the work time can be shortened as compared with the prior art.

  In the present embodiment, in particular, as data analysis, the ratio of the data of the elements of the reference data is seen, classified into groups having characteristics corresponding to the difference, and the group, error, and test item are set in association with each other. Thereby, according to the characteristic of the reference data, it is possible to extract effective test items for early detection of errors and present them to the user.

  In the present embodiment, support information is provided so that the user can easily extract error contents of fraudulent reference data, determine a check viewpoint, and set an effective test item. Accordingly, the user can easily set effective test items and can efficiently perform the work.

  In the present embodiment, as a new mechanism, paying attention to the characteristics of the reference data related to the integration work, the characteristics of the reference data are classified as a group, and the error contents of the past incorrect reference data are classified into groups. To clarify. In the present embodiment, for each characteristic of the reference data, the user determines the error contents and prepares effective test items. In the present embodiment, in the test at the time of the revision, based on the information in the DB, effective test items that match the characteristics of the reference data are extracted and presented. Enable stage testing.

  As a result, for example, even if incorrect content is entered in the reference data due to a misinterpretation of the reference document by the user, an error can be discovered early and efficiently in the previous test, and the result of the incorrect reference data Occurrence can be prevented and the number of errors can be reduced. According to the present embodiment, the user accumulates the results of the work including the test at the time of the revision of the reference data in the DB, and uses and reflects the information in the DB for future work, thereby improving the accuracy of the test. Can do.

[Other embodiments]
Examples of the integration work test support system according to another embodiment include the following.

  The test unit 20 in FIG. 1 may be integrated into the application 10. Further, the test unit 20 may be integrated with the part that performs the production test of the integration work system 2. Further, the application 10 may be integrated into the integration business system 2. Alternatively, the test item table 43 and the existing test item list 22 may be integrated into one.

  In the above-described embodiment, when a valid test item is set, both a function for setting a new test item and a function for setting a test item selected from the existing test item list 22 are provided. Yes. Not only this but the form only provided with the former function and the form only provided with the latter function are also possible naturally.

  When an error is found as a result of the test in the test unit 20 or the production test of the integration business system 2, the corresponding incorrect reference data is sent to the second data analysis unit 12 or the third data analysis unit 13 of the application 10. The form which cooperates may be sufficient. In the second data analysis unit 12, fraud classification is performed by discriminant analysis of the fraud criterion data, as described above. Then, the third data analysis unit 13 can confirm the error content of the fraudulent reference data by the user, and if there is a new check viewpoint, the test item can be set in the same manner as described above.

  Although the present invention has been specifically described above based on the embodiments, the present invention is not limited to the above-described embodiments, and various modifications can be made without departing from the scope of the invention.

  DESCRIPTION OF SYMBOLS 1 ... Terminal, 2 ... Integration business system, 10 ... Application, 11 ... 1st data analysis part, 12 ... 2nd data analysis part, 13 ... 3rd data analysis part, 14 ... Data management part, 15 ... Test data input part , 16 ... 4th data analysis part, 17 ... Test item extraction part, 18 ... Test item output part, 19 ... Setting part, 20 ... Test part, 21 ... Test result information, 22 ... Test item list, 30 ... Reference data DB , 31 ... name table, 32 ... breakdown table, 33 ... condition table, 34 ... step table, 35 ... calculation table, 40 ... test DB, 41 ... group property table, 42 ... illegal classification table, 43 ... test item table.

Claims (10)

An integration work test support system that performs information processing to support work including tests at the time of revision of reference data related to accumulation work,
A test support department;
A reference data DB for storing the reference data;
A test DB for storing information for supporting the work;
With
The test support unit
First data for classifying the reference data group of the reference data DB into a plurality of groups according to differences in data characteristics by first data analysis, and storing first information relating to the groups and characteristics in the test DB The analysis department;
Based on the first information, fraudulent reference data including an error is classified by classifying which of the groups corresponds to the second data analysis, and second information regarding the classification is stored in the test DB. A second data analysis unit for storing;
Based on the second information, as a third data analysis, a first test item that is set based on a user's operation on the screen and that corresponds to a check viewpoint regarding the error content of the fraud criterion data is the group and In association, as the third information, a third data analysis unit stored in the test DB;
An input unit for inputting test target reference data based on the user's operation;
A fourth data analysis unit that classifies the test target reference data by determining whether the test target reference data corresponds to any of the groups by a fourth data analysis;
An extraction unit for extracting the first test item associated with the group to which the test target reference data corresponds from the third information;
An output unit for outputting the extracted first test item to the user;
An integrated business test support system. In the integration work test support system according to claim 1,
Has a test section,
The output unit displays a screen including information on the first test item;
The test unit performs a test using the first test item related to the test target reference data based on an operation of the user on the screen, and stores a test result including the presence or absence of an error in test result information. ,
Total work test support system. In the integration work test support system according to claim 1,
The reference data is composed of data of a plurality of elements,
The first data analysis unit classifies the plurality of groups based on a ratio of data of the plurality of elements in the reference data;
Total work test support system. In the accumulation work test support system according to claim 3,
The plurality of groups are:
A group in which the ratio of data of the plurality of elements is approximately the same and the data amount of the plurality of elements is greater than or equal to a threshold value;
A group in which the ratio of data of the plurality of elements is approximately the same, and the data amount of the plurality of elements is smaller than the threshold value;
A group having a large ratio of data of one particular element among the plurality of elements;
A group having a large ratio of data of a plurality of specific elements among the plurality of elements;
including,
Total work test support system. In the integration work test support system according to claim 1,
The third data analysis unit displays the classification result of the fraud criteria data into the group based on the second information, and the error content set based on the user operation on the screen Storing information on the third information,
Total work test support system. In the integration work test support system according to claim 1,
The third data analysis unit sets a new test item different from an existing test item as the first test item based on the operation of the user on the screen.
Total work test support system. In the integration work test support system according to claim 1,
The third data analysis unit displays information on an existing test item on the screen based on the operation of the user, and the test item selected by the user from the existing test item is displayed on the first test item. Set as
Total work test support system. In the accumulation work test support system according to claim 2,
Based on the test result information, when the test result of the test target reference data has no error, the test unit is linked so that the test target reference data is used in a production test or an integration operation of the integration operation system. And if the test result is incorrect, prompt the user to re-enter or re-test the test target reference data,
Total work test support system. An accumulation work test support method in an accumulation work test support system that performs information processing to support work including a test at the time of revision of reference data related to accumulation work,
The accumulated work test support system is:
A test support department;
A reference data DB for storing the reference data;
A test DB for storing information for supporting the work;
With
The integration work test support method is executed by the test support unit as follows:
First data for classifying the reference data group of the reference data DB into a plurality of groups according to differences in data characteristics by first data analysis, and storing first information relating to the groups and characteristics in the test DB Analysis steps;
Based on the first information, fraudulent reference data including an error is classified by classifying which of the groups corresponds to the second data analysis, and second information regarding the classification is stored in the test DB. A second data analysis step for storing;
Based on the second information, as a third data analysis, a first test item that is set based on a user's operation on the screen and that corresponds to a check viewpoint regarding the error content of the fraud criterion data is the group and In association, a third data analysis step of storing in the test DB as third information;
An input step for inputting test target reference data based on the user's operation;
A fourth data analysis step of classifying the test target reference data by determining whether the test target reference data corresponds to any of the groups by a fourth data analysis;
Extracting the first test item associated with the group to which the test target reference data corresponds from the third information;
An output step of outputting the extracted first test item to the user;
A method for supporting an accumulation work test. An accumulation work test support program for causing an accumulation work test support system that performs information processing to support work including a test at the time of revision of reference data relating to accumulation work to execute the information processing,
The accumulated work test support system is:
A test support department;
A reference data DB for storing the reference data;
A test DB for storing information for supporting the work;
With
The integration work test support program is a process to be executed by the test support unit.
First data for classifying the reference data group of the reference data DB into a plurality of groups according to differences in data characteristics by first data analysis, and storing first information relating to the groups and characteristics in the test DB Analysis process,
Based on the first information, fraudulent reference data including an error is classified by classifying which of the groups corresponds to the second data analysis, and second information regarding the classification is stored in the test DB. A second data analysis process to store;
Based on the second information, as a third data analysis, a first test item that is set based on a user's operation on the screen and that corresponds to a check viewpoint regarding the error content of the fraud criterion data is the group and In association with each other, third data analysis processing stored as third information in the test DB;
An input process for inputting test target reference data based on the user's operation;
A fourth data analysis process for discriminating and classifying the test target reference data according to which of the groups by a fourth data analysis;
An extraction process for extracting the first test item associated with the group to which the test target reference data corresponds from the third information;
An output process for outputting the extracted first test item to the user;
Integrating business test support program.

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