JP2008225898A - Conversion device, conversion program, and conversion method - Google Patents

Abstract

Downstream process product data is generated from upstream process product data based on conversion rule data.
SOLUTION: PIM data 51, repository data 21 for storing PSM data 61 generated from PIM data 51 based on conversion rule data, and PSM data 62 modified from PSM data 61 are stored. The difference extraction means 12 that compares the data 61 with the PSM data 62 and outputs the difference as difference application data 33, and when the PIM data 51 is modified and the PIM data 52 is generated, Difference application means 15 for generating PSM data 63 from the PIM data 52 based on the above.
[Selection] Figure 1

Description

  The present invention relates to a conversion device, a conversion program, and a conversion method for generating downstream process product data from upstream process product data based on conversion rule data.

  In recent years, in the system development, object orientation with an emphasis on the business to be developed is widely adopted. In object-oriented system development, a set of related data and procedures (methods) for the related data are managed as a single unit called an “object”, and software is constructed by combining them. For objects that already exist, it is not necessary to know the details of the internal structure and the operating principle when using them, and it works if you send a message from the outside, so it is considered to be an effective idea especially in large-scale software development.

  In this object orientation, a system development method called MDA (Model Driven Architecture) is widely used. In this MDA, a system execution code is obtained through creation of a conceptual model, creation of a PIM (Platform Independent Model), and creation of a PSM (Platform Specific Model). Here, the “concept model” is a model representing the overall structure of the system. “PIM” is design data represented by a platform-independent model, which is a system implementation environment such as a CPU, OS, middleware, and development language. “PSM” is design data represented by a model (corresponding to a platform development language one-to-one) corresponding to a platform to be actually developed. PIM and PSM are developed or maintained by system developers.

  In the conversion from PIM to PSM, as shown in FIG. 22, a commercially available tool or a self-made conversion tool (model compiler) is used. This conversion rule set includes a plurality of conversion rules for converting a PIM metamodel to a PSM metamodel, and a PSM can be created from the PIM by using this conversion rule. With the conversion rules provided corresponding to the PIM and the platform, a PSM specialized and optimized for the platform, which is the development environment, can be obtained from the platform-independent PIM. This conversion rule is provided by a platform expert (vendor).

  However, when a model is modified on PSM after model conversion from PIM to PSM, if the model is converted again from PIM to PSM, the modified PSM is overwritten by the PM after model conversion There is.

  Specifically, as shown in FIG. 23, first, in step S901, model conversion is performed from the PIM data 951 according to the conversion rule, and PSM data 961 is generated. Next, in step S902, the PSM data 961 is corrected by a developer or the like, and the PSM data 962 is generated.

  On the other hand, in step S903, when a specification change or the like occurs in the PIM data 951, the PIM data 951 'is generated. Here, the PSM data 951 ′ is model-converted using the conversion rule used in step S 901 to generate PSM data 963. In this case, competition occurs between the models of the PSM data 962 and the PSM data 963. Specifically, the PSM data 963 that has been model-converted in step S904 is overwritten on the PSM data 962 that has been corrected in step S902. As a result, there is a problem that the correction contents corrected in step S902 are not applied to the PSM data 963.

As a background of such a situation, there may be a case where the specification of the upstream model data (here PIM data) is changed in the process of modifying the downstream model data (here PSM data). Specifically, the following situations can be considered.
(1) When developing with multiple people: PIM data developer and PSM data developer are developing in parallel (2) When request changes occur frequently: PIM data to PSM When the PIM model is changed due to a request change after model conversion to data, a backtracking process occurs. (3) Modification of conversion rule: When conversion rules are modified, different PSM data even if converted from the same PIM data In this way, in the system development process, it is expected to develop an environment in which a consistent system can be developed between the upstream product and the downstream product.

  In such a situation, when the program is automatically generated again from the design document after the change due to the revision of the program, it is possible to distinguish the original automatically generated part from the added part, and to create a program that enhances safety when editing the program There is a support device (for example, Patent Document 1). The apparatus described in Patent Document 1 regards a change from a design document to a post-change design document as difference information of logical information extracted by a logical information extraction unit, and adds it to a program automatically generated from the original design document Program logic information is extracted from the edited post-edit program by the program logic information extraction unit. Furthermore, the logical information update unit updates the program logical information based on the difference information, and the program generation unit automatically generates a changed program based on the updated program logical information.

  In addition, there is an automatic program generation method that inherits a correction program that can automatically generate a program that inherits a correction portion of the program (for example, Patent Document 2). In the method described in Patent Document 2, the program automatic generation unit automatically generates a program based on the design information. When a code is added due to a change in design information, the revised location inheritance section searches for the added location from a new program that is automatically generated based on the latest design information, and the code is updated when the design information is changed. If deleted, the deleted part is searched from the corrected program in which the previously generated program is corrected. Then, the additional part obtained by the search is added to the corrected program, and the deleted part is deleted from the corrected program.

Furthermore, in the program creation process of the software production support system, the newly added coding part such as deletion, modification and addition to the automatically generated program is retained, and the generation efficiency is improved by using existing assets more effectively. There is an automatic program generation method (for example, Patent Document 3). The method described in Patent Document 3 includes a step of comparing the old version generation program before the specification change with the new version generation program after the specification change and extracting the difference, and an addition / correction to the old version generation program. Comparing the deleted coding program with the old version generation program and extracting the difference, and adding / modifying / deleting the program generated using the new version specification information from the extracted difference information Steps.
JP 11-191063 A JP 2000-222195 A Japanese Patent Laid-Open No. 10-21066

  However, the above-described technique has a problem that a program that appropriately reflects correction and difference cannot be output.

  For example, in the methods described in Patent Document 1 and Patent Document 2, a difference in change is taken for the upstream process product and reflected in the downstream process product. This means that the upstream process is changed with respect to the already completed downstream process, and the processing order is reversed according to the original development procedure. For this reason, the method described in Patent Document 1 requires complicated processing such as partial conversion and merging of partial conversion results so as to overwrite the corrected program.

  In addition, the methods described in Patent Document 1 and Patent Document 2 are not suitable for developing a system that performs model conversion using the conversion rules as described above. Specifically, when there is a change in the conversion rule itself, the above-described techniques of Patent Document 1 and Patent Document 2 cannot cope with it.

  On the other hand, in the technique described in Patent Document 3, the new version generation program, the first difference between the old version generation program, the second difference between the old version generation program and the old version modified program are extracted, and The new version corrected program is output based on the difference of 1 and the second difference. In other words, the technique described in Patent Document 3 has a problem that the difference extraction process occurs twice and the process becomes complicated.

  Based on the situation as described above, it is expected to develop an environment that allows easy and consistent system development between upstream products and downstream products.

  Accordingly, an object of the present invention is to provide a conversion device, a conversion program, and a conversion method that can easily achieve consistency between an upstream product and a downstream product.

  In order to solve the above-described problem, a first feature of the present invention relates to a conversion apparatus that generates downstream process product data from upstream process product data based on conversion rule data. That is, the conversion device according to the first aspect of the present invention includes first upstream process product data and first downstream process product data generated from the first upstream process product data based on the conversion rule data. Are stored in the storage device, the second downstream process product data corrected from the first downstream process product data is stored in the storage device, and the first downstream process. The product data and the second downstream process product data are compared, the difference between the first downstream process product data and the second downstream process product data is output as difference application data, and the difference application data is When the difference extraction means stored in the storage device and the first upstream process product data are corrected and the second upstream process product data are generated, the second upstream is based on the conversion rule data and the difference application data. Process completion And a difference application means for generating a third downstream process artifacts data from the object data.

  More specifically, the difference extraction means generates first difference extraction data from the first downstream process product data, and generates second difference extraction data from the second downstream process product data. , Difference extraction data generating means for storing the first difference extraction data and the second difference extraction data in the storage device, and reading out the first difference extraction data and the second difference extraction data from the storage device, Difference extraction data comparing means for comparing the difference extraction data with the second difference extraction data, and difference application data is output based on the comparison result by the difference extraction data comparison means, and the difference application data is stored in the storage device. Data generation means may be provided.

  According to the present invention, since new downstream process product data is generated from the upstream process product data after the change in consideration of the change in the downstream process product data, rework and competition by development. It is possible to easily develop a consistent system without causing any problems.

  Further, the first and second upstream process product data and the first and second downstream process product data can be represented by a tree structure and may be document data represented by a plurality of elements. In this case, for each element of the first downstream process product data, the difference extraction data generation means has a first element name associated with the element name, a list of attribute names and attribute values associated with the element, and an element identifier. Second difference extraction in which difference extraction data is generated, and for each element of the second downstream process result data, an element name of the element, a list of attribute names and attribute values associated with the node, and an element identifier The data is generated, and the differential extraction data comparison unit creates partial tree data for each of the first differential extraction data and the second differential extraction data, and the partial tree data and the second difference of the first differential extraction data Extract subtree data having the same subtree data of the extracted data, delete the subtree data from each of the first difference extraction data and the second difference extraction data, and extract the subtree data of the first difference extraction data. For each element included in subtree data having different subtree data of the second difference extraction data and the second difference extraction data, elements having the same element name, attribute name list, and attribute value list are extracted, and the first difference extraction data and second difference extraction data The difference application data generation means sets the element classification associated with the element identifier common to each of the first difference extraction data and the second difference extraction data to change. The element classification associated with the identifier of the element included in the first difference extraction data and not included in the second difference extraction data is set to delete, and the first difference extraction included in the second difference extraction data is set. Set the element classification associated with the element identifier not included in the data to be deleted, output the differential application data associated with the element identifier and classification, and store the differential application data in the storage device That.

  The difference application data can be efficiently generated by creating the subtree data in advance and extracting the difference, and comparing the subtrees having the same subtree data for each element.

  The second feature of the present invention relates to a conversion device that generates downstream process product data from upstream process product data based on conversion rule data. That is, the conversion device according to the second aspect of the present invention stores upstream process product data and first downstream process product data generated from the upstream process product data based on the first conversion rule data. Repository storage means for storing in the device, modified data storage means for storing in the storage device the second downstream process product data corrected from the first downstream process product data, and first downstream process product data Is compared with the second downstream process product data, the difference between the first downstream process product data and the second downstream process product data is output as difference application data, and the difference application data is stored in the storage device. When the difference extraction means to be stored and the first conversion rule data are corrected and the second conversion rule data are generated, the upstream process product data is based on the second conversion rule data and the difference application data. And a difference application means for generating a third downstream process product data.

A third feature of the present invention relates to a conversion program that generates downstream process product data from upstream process product data based on conversion rule data. In other words, the conversion program according to the third feature of the present invention is the first upstream process product data and the first downstream process product data generated from the first upstream process product data based on the conversion rule data. Are stored in the storage device, the second downstream process product data corrected from the first downstream process product data is stored in the storage device, and the first downstream process. The product data and the second downstream process product data are compared, the difference between the first downstream process product data and the second downstream process product data is output as difference application data, and the difference application data is When the difference extraction means stored in the storage device and the first upstream process product data are corrected and the second upstream process product data are generated, the second upstream is based on the conversion rule data and the difference application data. The fourth feature of the present invention is that the difference application means for generating the third downstream process product data from the process product data is realized in the computer. The fourth feature of the present invention is that the downstream process product data is converted into the conversion rule data from the upstream process product data. The present invention relates to a conversion program generated based on the above. That is, the conversion program according to the fourth aspect of the present invention stores upstream process product data and first downstream process product data generated from the upstream process product data based on the first conversion rule data. Repository storage means for storing in the device, modified data storage means for storing in the storage device the second downstream process product data corrected from the first downstream process product data, and first downstream process product data Is compared with the second downstream process product data, the difference between the first downstream process product data and the second downstream process product data is output as difference application data, and the difference application data is stored in the storage device. When the difference extraction means to be stored and the first conversion rule data are corrected and the second conversion rule data are generated, the upstream process product data is based on the second conversion rule data and the difference application data. From realizing the difference application means for generating a third downstream process artifact data to the computer.

  A fifth feature of the present invention relates to a conversion method for generating downstream process product data from upstream process product data based on conversion rule data. In other words, the conversion program according to the fifth feature of the present invention is the first upstream process product data and the first downstream process product data generated from the first upstream process product data based on the conversion rule data. Is stored in the storage device, the second downstream process product data corrected from the first downstream process product data is stored in the storage device, and the first downstream process is stored in the storage device. The product data and the second downstream process product data are compared, the difference between the first downstream process product data and the second downstream process product data is output as difference application data, and the difference application data is When the difference extraction step stored in the storage device and the first upstream process product data are corrected to generate the second upstream process product data, the conversion rule data and the difference application data are used. And a difference application step of generating a third downstream process artifacts data from the second upstream process product data.

  A sixth feature of the present invention relates to a conversion method for generating downstream process product data from upstream process product data based on conversion rule data. That is, the conversion method according to the sixth aspect of the present invention stores upstream process product data and first downstream process product data generated from the upstream process product data based on the first conversion rule data. A repository storing step for storing in the device; a modified data storing step for storing in the storage device second downstream process product data modified from the first downstream process product data; and first downstream process product data Is compared with the second downstream process product data, the difference between the first downstream process product data and the second downstream process product data is output as difference application data, and the difference application data is stored in the storage device. When the difference extraction step to be stored and the first conversion rule data are corrected to generate the second conversion rule data, the upstream process result is based on the second conversion rule data and the difference application data. And a difference application step of generating a third downstream process artifacts data from the data.

  According to the present invention, it is possible to provide a conversion device, a conversion program, and a conversion method that can easily achieve consistency between an upstream product and a downstream product.

  Next, embodiments of the present invention will be described with reference to the drawings. In the following description of the drawings, the same or similar parts are denoted by the same or similar reference numerals.

  “PIM” is an abbreviation for Platform Independent Model, which is design data represented by a platform-independent model, which is a system implementation environment such as a CPU, OS, middleware, and development language. A PIM is developed or maintained by a system developer. In the best mode of the present invention, document data in which a plurality of elements are described in a tree structure is described using PIM as an example of upstream process product data.

  “PSM” is an abbreviation of Platform Specific Model, and is design data represented by a model corresponding to the platform that is actually the development target (corresponding to the development language of the platform on a one-to-one basis). The PSM is developed or maintained by a system developer. In the best mode of the present invention, PIM is used as an example of downstream process product data that is document data in which a plurality of elements are described in a tree structure and is converted from upstream process product data by a conversion rule. It explains using.

  “XMI” is an abbreviation for XML Metadata Interchange, and is a stream format for exchanging metadata including UML models created in the analysis / design phase. Used for bidirectional conversion between UML and XML.

  “UML” is an abbreviation for Unified Modeling Language, which is a unified notation for program design drawings in object-oriented software development. In the preferred embodiment of the present invention, PSM data and PIM data are described in the form of a UML class diagram. In this UML class diagram, the UML class diagram is composed of a quadrangle representing a class as an element, a connection indicating their relationship, and the like. A stereotype, a class name, an attribute, and a method are displayed in a rectangle representing the class. Connections indicating class relationships have a plurality of shapes according to the relationship.

  The “conversion rule” is rule data for converting from upstream process product data to downstream process product data.

  “Repository” is data in which information related to source codes and specifications is stored together in a system development environment in which a plurality of developers participate. Specifically, in the best mode of the present invention, FIG.

(Outline of the best embodiment)
In the best mode of the present invention, a function (partial round trip engineering) of extracting a difference between model data and merging without inconsistency is adopted. Round-trip engineering is a function that allows bidirectional conversion between an abstract model describing system architecture and design and code. In round trip engineering, forward engineering and reverse engineering are repeated. Here, forward engineering is to generate source code from model data, and reverse engineering is to generate a model from source code.

  Here, the partial (tripal) round-trip engineering employed in the best mode of the present invention is round-trip engineering without iterative reverse engineering. There is full round-trip engineering versus partial round-trip engineering. Complete round trip engineering is a technology that further applies iterative reverse engineering to round trip engineering.

  The partial round trip engineering will now be described with reference to FIG. First, in step S1, model conversion is performed from the PIM data 51 according to a conversion rule, and PSM data 61 is generated. Next, in step S2, the PSM data 61 is corrected by a developer or the like, and the PSM data 62 is generated. At this time, PSM difference data 70 that is difference data between the PSM data 61 and the PSM data 62 is automatically generated.

  On the other hand, when a specification change or the like occurs in the PIM data 51 in step S3, new PIM data 51 'is generated. In step S 4, the PSM data 63 is regenerated after using the PIM data 51 ′, the PSM difference data 70, and the conversion rule used in step S 1.

  As a result, the correction in step S2 is reflected, and the PSM data 63 reflecting the specification change in the PIM data 51 is output.

  As described above, in the best mode of the present invention, three generations of model data converted by time, specifically, differences between the PSM data 61, the PSM data 62, and the PSM data 63 are extracted. Specifically, the difference between the PIMs and the difference between the PSMs are reflected in the PSM data 63. In the best mode of the present invention, a difference is extracted between semantic information obtained by combining XML tags. Furthermore, in the best mode of the present invention, it is possible not to treat a difference object as a difference object.

The class configuration of each data shown in FIG. 1 will be described with reference to FIGS. 2 to 6 are class diagrams described in UML for each model data.
As shown in FIG. 2, the PIM data 51 includes a process :: Class1 class C101, a process :: Class2 class C102, a service :: Class3 class C103, and an entity :: Class4 class C104.
As shown in FIG. 3, the PIM data 51 ′ in which the PIM data 51 is modified includes process :: Class1 class C101 ′, process :: Class2 class C102, service :: Class3 class C103, entity :: Class4 class C104, and process: : NewPIMClass3C105. Compared with the PIM data 51 described in FIG. 2, the PIM data 51′process :: NewPIMClass3 class C105 is added, the process :: NewPIMClass3 class C105 ← relation to the service :: Class3 class C103 is added, and process :: Class1 The difference is that a newPIMMethod () method is added in class C101 ′.

  As shown in FIG. 4, the PSM data 61 converted from the PIM data 51 includes process :: AbsClass class C202, process :: Class1 class C202, process :: Class2 class C203, service :: Interface1 class C204, service :: It has a Class3 class C205 and an entity :: Class4 class C206.

  As shown in FIG. 5, the PSM data 62 corrected by the developer from the PSM data 61 includes a process :: AbsClass class C201, a process :: Class1 class C202 ′, a service :: Interface1 class C204, and a service :: Class3 class C205. And entity :: Class4 class C206 and addNewClassC207. Compared to the PSM data 61 shown in FIG. 4, the PSM data 62 is obtained by deleting the process :: Class1 class C203 and adding the addNewClass class C207, and adding the generalization of the process :: AbsClass class C201 ← AddNewClass class C207. The process :: Class1 class C202 ′ is different in that a newMethodB (string) method is added.

  As shown in FIG. 6, the PSM data 63 converted from the PIM data 51 ′ includes process :: AbsClass class C201, process :: Class1 class C202 ″, service :: Interface1 class C204, service :: Class3 class C205, It has entity :: Class4 class C206, addNewClassC207 and process :: NewPIMClass3C208. Compared with the PSM data 61 described in FIG. 4, the PSM data 63 includes a change point corrected from the PIM data 51 to the PIM data 51 ′ and a change point corrected from the PSM data 61 to the PSM data 62. The changes corrected from the PIM data 51 to the PIM data 51 ′ are that a newPIMMethod () method is added to the process :: Class1 class C202 ″, a process :: NewPIMClass3 class C208 is added, and process :: AbsClassC201 ← process: : NewPIMClass3 Generalization of class C208 is added. The changes from PSM data 61 to PSM data 62 are that process :: Class1 class C203 is deleted and addNewClass class C207 is added, generalization of process :: AbsClass class C201 ← AddNewClass class C207 is added, and process The newMethodB (string) method is added to the :: Class1 class C202 ″.

  Here, the relationship among PIM data, PSM data, and conversion rule data will be described. For example, in object-oriented system development, information as shown in FIG. 7 is stored in the repository data. In the repository data shown in FIG. 7, PSM metamodel data is generated from the PIM metamodel data using the conversion rule data R1. As shown in FIG. 7, the conversion rule data R1 depends on the PIM metamodel data and the PSM metamodel data. PIM data 1 and PIM data 2 are instances of the PIM metamodel, and PSM data 1 is an instance of the PSM metamodel. The “meta model” is a model that defines UML model elements (classes, attributes, operations, relationships, etc.) for describing, for example, a PIM or a PSM. Here, when the PSM data 1 as the target is created from the PIM data 1 as the source using the conversion rule data R 1, the conversion instance 1 is generated and stored in the repository data 21. In this way, the repository data 21 related to the conversion record is used as the conversion instance 1 when generating the source PIM data identifier (PIM data 1), the target PSM data identifier (PSM data 1), and the PSM data 1. The information regarding the identifier (conversion rule data R1) of the converted conversion rule is included.

(Conversion device)
As shown in FIG. 8, the conversion apparatus 1 according to the preferred embodiment of the present invention includes a central processing control device 101, a ROM (Read Only Memory) 102, a RAM (Random Access Memory) 103, and an input / output interface 109. They are connected via a bus 110. An input device 104, a display device 105, a communication control device 106, a storage device 107, and a removable disk 108 are connected to the input / output interface 109.

  The central processing control device 101 reads out and executes a boot program for starting the conversion device 1 from the ROM 102 based on an input signal from the input device 104, and further reads an operating system stored in the storage device 107. Further, the central processing control device 101 controls various devices based on input signals from the input device 104, the communication control device 106, etc., and reads programs and data stored in the RAM 103, the storage device 107, etc. into the RAM 103. A processing device that loads and implements a series of processes to be described later, such as data calculation or processing, based on a program command read from the RAM 103.

  The input device 104 includes input devices such as a keyboard and a mouse through which an operator inputs various operations. The input device 104 generates an input signal based on the operation of the operator, and inputs via the input / output interface 109 and the bus 110. It is transmitted to the central processing control apparatus 101. The display device 105 is a CRT (Cathode Ray Tube) display, a liquid crystal display, or the like. The display device 105 receives an output signal to be displayed on the display device 105 from the central processing control device 101 via the bus 110 and the input / output interface 109. It is a device that displays the processing result of the control device 101 and the like. The communication control device 106 is a device such as a LAN card or a modem, and is a device that connects the conversion device 1 to a communication network such as the Internet or a LAN. Data transmitted / received to / from the communication network via the communication control device 106 is transmitted / received to / from the central processing control device 101 via the input / output interface 109 and the bus 110 as an input signal or an output signal.

  The storage device 107 is a semiconductor storage device, a magnetic disk device, or the like, and stores programs and data executed by the central processing control device 101. The removable disk 108 is an optical disk or a flexible disk, and signals read / written by the disk drive are transmitted / received to / from the central processing control apparatus 101 via the input / output interface 109 and the bus 110.

  As shown in FIG. 9, the storage device 107 of the conversion apparatus 1 according to the best embodiment of the present invention stores a conversion program, as well as repository data 21, differential application PSM data 22, modified PSM data 62, Difference extraction data 32a and 32b, difference application data 33, difference application data table 34, tag combination data table 35, and screen display data 36 are stored. The modified PSM data 62 is PSM data modified from the PSM data 62 by a developer or the like. Further, when the conversion program is executed by the central processing control device 101, the central processing control device 101 includes the filtering means 11, the difference extraction means 12, the tag combination data generation means 13, the screen display data generation means 14, and the difference application means. 15 is mounted on the central processing control apparatus 101. The difference extraction unit 12 includes a difference extraction data generation unit 12a, a difference extraction data comparison unit 12b, and a difference application data generation unit 12c.

  In the diagram shown in FIG. 9, each data is stored in the two storage devices 107a and 107b. However, the data may be stored in one storage device, or may be stored in three or more storage devices. good.

  The repository data 21 includes PIM data (first upstream process product data) 51, corrected PIM data (second upstream process product data) 51 ′, PSM data (first downstream process product data). 61, the corrected PSM data 62 (second downstream process product data) and the PSM data 63 are stored.

  The conversion apparatus 1 according to the preferred embodiment of the present invention generates difference applied PSM data 63 'from the difference between the PSM data 61 and the PSM data 62 and the corrected PIM data 51'. The PIM data and PSM data handled by the conversion apparatus 1 according to the preferred embodiment of the present invention are an example of document data that can be expressed by a tree structure and expressed by a plurality of elements.

  Here, each means mounted on the central processing control apparatus 101 in FIG. 9 will be described in detail.

  The filtering unit 11 is a unit that filters the data elements that are not handled as comparison targets with respect to the data elements of the PSM data 61 and the PSM data 62. Thereby, the conversion apparatus 1 which concerns on the best embodiment of this invention can perform the process mentioned later about only the element handled as a comparison object among each element of the PSM data 61 and the PSM data 62. FIG. For example, the filtering unit 11 may extract only elements satisfying a predetermined condition such as elements corrected before a predetermined date among the elements of the PSM data. Further, the filtering unit 11 may extract only elements selected by the user's operation.

  The difference extraction unit 12 compares the PSM data 61 and the PSM data 62, outputs the difference between the PSM data 61 and the PSM data 62 as the difference application data 33, and stores the difference application data 33 in the storage device 107b. The difference extraction unit 12 includes a difference extraction data generation unit 12a, a difference extraction data comparison unit 12b, and a difference application data generation unit 12c.

  The difference extraction data generation unit 12 a generates first difference extraction data 33 a from the PSM data 61 and also generates second difference extraction data 33 b from the PSM data 62. The difference extraction data generation unit 12a stores the first difference extraction data 33a and the second difference extraction data 33b in the storage device 107b. More specifically, the difference extraction data generation unit 12a includes, for each element of the PSM data 61, first difference extraction data in which an element name of the element, a list of attribute names and attribute values associated with the element, and an identifier of the element are associated. 33a is generated and stored in the storage device 107b. Further, the difference extraction data generation unit 12a generates, for each element of the PSM data 62, the element name of the element, a list of attribute names and attribute values associated with the element, and second difference extraction data 33b in which the element identifier is associated. And stored in the storage device 107b. Here, the identifier of the element is xmi. id.

  The difference extraction data 32a and the difference extraction data 32b will be described in detail with reference to FIGS. 10 (a) and 10 (b). The difference extraction data 32a and the difference extraction data 32b are set such that each element has xmi. If it has id, it has the data structure of FIG. When it does not have id, it has the data structure shown in FIG.

  The difference extraction data 32 shown in FIG. It is an example of the data structure in the case of having id. In the difference extraction data 32, for each element, an element name, an attribute name list of attributes associated with the element, an attribute value list, xmi. id, xmi. of the ancestor (parent element) of the element The id and ancestor are associated with the distance of the element. The attribute name list attribute corresponds to the attribute value list attribute value. Specifically, in the case of the element E101 shown in FIG. 11, the difference extraction data 32 includes the element name “UML: Class”, the attribute name lists “atrA”, “atrB”, “atrC”, and “xmi.id”. , Attribute value list “xx”, “yy”, “zz” and “0011”, xmi. id “0011” is stored in association with each other. Further, the difference extraction data includes an ancestor xmi. The default value “0000” is set as the id, and the default value “0” is set as the distance.

  The difference extraction data 32 shown in FIG. It is an example of a data structure when it does not have id. In the difference extraction data 32, for each element, an element name, an attribute name list of attributes associated with the element, an attribute value list, xmi. id and ancestor xmi. The path name from the id to the leaf, the ancestor and the distance between the elements are associated. Here, the ancestor traces the parent element of the element, the parent element of the parent element, and the ancestor, xmi. It is the first element with id. The path name is, for example, the ancestor xmi. For each element of the subtree from id to the leaf, the element names are concatenated. This path name may have any format as long as this subtree can be uniquely identified. The attribute name list attribute corresponds to the attribute value list attribute value. Specifically, in the case of the element E111 shown in FIG. 12, the difference extraction data 32 includes the element name “UML: XXX” and the attribute name lists “atrA”, “atrB”, and “atrC”. Furthermore, the ancestor of the element name “UML: XXX” is xmi. xmi. of element E112 to which id is assigned. The id and the distance “2” between the ancestor element E112 and the element E111 are associated with each other. The difference extraction data 32 is associated with a path name “abcdefzzxxvv” that identifies the subtree from the element E112 to the leaf.

Next, with reference to FIG. 13, difference extraction data generation processing by the difference extraction data generation means 12a will be described.
First, in step S101, one node (element) is acquired from the PSM data 61 or the PSM data 62 from the DOM tree structure data. In step S102, if there are no nodes, all nodes have been processed, and the process ends. If there is a node, in step S103, xmi. Determine whether there is an id. xmi. If there is an id, xmi. Get the id and set it in the difference extraction data. On the other hand, xmi. If there is no id, in step S105, the closest higher order xmi. get id to get ancestor xmi. Set as id.
Next, in step S106, the element tag name of the element is set as the element name. In step S107, the attribute name of the attribute associated with the element is acquired and the attribute name list is set, and the attribute value of the attribute is acquired and the attribute value list is set. In step S108, the element is xmi. If it has id, the distance “0” is set. Xmi. If there is no id, xmi. The distance between the upper element having id and the element is set. In step S108, the element is xmi. If it has id, the distance “0” is set. Xmi. If there is no id, xmi. The distance between the upper element having id and the element is set. In step S109, the element is xmi. ancestor xmi. Set id “0000”.
In step S110, the element is xmi. If it is determined that it has id, the process returns to step S101 to process the next node. In step S110, the element is xmi. If it is determined that it does not have an id, a node path is generated in step S111, and the node path generated in step S111 is set in step S112.

  The process shown in FIG. 13 is executed for each of the PSM data 61 and the PSM data 62. Through the above processing, the difference extraction data generation means 12a can create data characterizing each element for each element in order to extract the difference between the PSM data 61 and the PSM data 62.

  When the difference extraction data 32a is generated from the PSM data 61 and the difference extraction data 32b generated from the PSM data 62 is generated, the difference extraction data comparison unit 12b compares the difference extraction data 32a and the difference extraction data 32b. .

  The difference extraction data comparison unit 12b reads the first difference extraction data 33a and the second difference extraction data 33b from the storage device 107b, and compares the first difference extraction data 33a with the second difference extraction data 33b.

  More specifically, the difference extraction data comparison unit 12b creates partial tree data for each of the first difference extraction data 32a and the second difference extraction data 32b. The difference extraction data comparison unit 12b extracts subtree data in which the subtree data of the first difference extraction data 32a and the subtree data of the second difference extraction data 32b are equal to each other, and extracts the first difference extraction data 32a and the second difference extraction data 32a. Are deleted from each of the difference extraction data 32b. The difference extraction data comparison unit 12b includes, for each element included in the subtree data in which the subtree data of the first difference extraction data 32a and the subtree data of the second difference extraction data 32b are different, an element name, an attribute name list, and Elements having the same attribute value list are extracted and deleted from each of the first difference extraction data 32a and the second difference extraction data 32b.

  For example, as illustrated in FIG. 14, the difference extraction data A included in the first difference extraction data 32 a related to the PSM data 61 is changed from the difference extraction data A to the second difference extraction data 32 b related to the PSM data 62. It is compared with each of the difference extraction data E. Similar processing is repeated for the difference extraction data B to E included in the first extraction data 32 a of the PSM data 61. As shown in FIG. 15, when the difference extraction data C related to the PSM data 61 and the difference extraction data B related to the PSM data 62 are equivalent, the difference extraction data C included in the difference extraction data 32 a related to the PSM data 61 is converted into the difference extraction data. In addition to deleting from the difference extraction data 32b, the difference extraction data B included in the difference extraction data 32b related to the PSM data 62 is deleted from the difference extraction data 32b.

Here, with reference to FIG. 16, the difference extraction data comparison process by the difference extraction data comparison means 12b is demonstrated.
First, in step S201, the difference extraction data 32a and the difference extraction data 32b are regarded as a fixed block, and partial tree data is created for the PSM data 61 and the PSM data 62, respectively. Here, the partial tree data is data of a group of elements from a certain node to a leaf in a state where a plurality of elements are included. Next, the processing from step S202 to step S207 is repeated for the difference extraction data of all the PSM data 61 and the difference extraction data of the PSM data 62.
In step S202, the subtree data of the PSM data 61 and the subtree data of the PSM 62 generated in step S201 are extracted. In step S203, it is examined whether or not the subtree data of the difference extraction data 32a of the PSM data 61 is equal to the subtree data of the difference extraction data 32b of the PSM data 62. Here, the subtree data is equal means that all elements included in the subtree have an element name, an attribute name list, an attribute value list, xmi. id, ancestor xmi. In this state, the difference extraction data such as id is the same. If equal, in step S204, the difference extraction data related to the partial tree data is deleted from the difference extraction data 32a related to the PSM data 61, and the difference extraction data related to the partial tree data is deleted from the difference extraction data 32b related to the PSM data 62.
Next, in step S205, each of the subtree data of the difference extraction data 32a related to the PSM data 61 and the subtree data of the difference extraction data 32b related to the PSM data 62 are decomposed into elements. Further, the processing of step S206 and step S207 is repeated for each element relating to all the PSM data 61 and each element relating to the PSM data 62.
In step S206, the elements related to the PSM data 61 and the elements related to the PSM data 62 are extracted, and it is examined whether the elements related to the PSM data 61 and the elements related to the PSM data 62 are equal. Here, the elements are equal means that the element name, attribute name list, attribute value list, xmi. id, ancestor xmi. In this state, the difference extraction data such as id is the same. If equal, the element data related to the PSM data 61 is deleted from the difference extraction data 32a in step S207, and the element data related to the PSM data 62 is deleted from the difference extraction data 32b. When the elements related to the PSM data 61 and the elements of the PSM data 62 are different, the elements related to the next PSM data 61 and the elements of the PSM data 62 are compared.

  Through the above processing, the difference extraction data comparison unit 12b compares the difference extraction data 32a and the difference extraction data 32b to extract a difference. Also, the difference can be extracted more quickly by comparing the subtree data in units.

  The difference application data generation unit 12c outputs the difference application data 33 based on the comparison result by the difference extraction data comparison unit 12b. The difference application data generation unit 12c stores the difference application data 33 in the storage device 107b.

  The difference application data generation unit 12c sets the element classification associated with the identifier of the element common to each of the first difference extraction data 32a and the second difference extraction data 32b to change. The difference application data generation means 12c sets the element classification associated with the identifiers of elements included in the first difference extraction data 32a and not included in the second difference extraction data 32b to deletion. The difference application data generation unit 12c sets the element classification associated with the identifier of the element included in the second difference extraction data 32b and not included in the first difference extraction data 32a to deletion. The difference application data generation unit 12c outputs the difference application data 33 in which the element identifier and the classification are associated by the above processing, and stores the difference application data 33 in the storage device 107b.

  The difference application data 33 has a data structure as shown in FIG. The difference application data 33 includes xmi. id (or path name if the element does not have xmi.id), update list, category, distance, ancestor xmi. Provide id. The update list includes an attribute list before update and an attribute list after update. The category indicates how the element has changed between the PSM data 61 and the PSM data 62, and changes, deletions, and additions are described therein. Distance and ancestor xmi. id is the same as the data set in the difference extraction data 32a and 32b. The difference application data includes data as shown in FIG. When the category is deletion, only the pre-update attribute list is described in the update list. When the category is added, only the updated attribute list is described in the update list. When the category is update, not only the attribute value is changed, but also the attribute name and attribute value are all written out for the attribute that has not been changed.

  The tag combination data generation unit 13 is a unit that generates a set of combinations when the difference application data 33 is applied to the PSM data 63. The tag combination data generation unit 13 outputs a difference application data table 34 and a tag combination data table 35.

  As shown in FIG. 19, the difference application data table 34 is a table in which each element described in the difference application data 33 is associated with an address for identifying the element. As shown in FIG. 20, the tag combination data table 35 is a table that expresses a combination of difference application data that must be applied at the same time by an address of the difference application data table 34. For example, in the address 2 of the tag combination data table 35, it is indicated that the difference application data of “EEEEEEEEE” of the address 4 and “FFFFFFFFF” of the address 5 of the difference application data table 34 must be applied. In this way, consistency in the PSM data 63 can be maintained by holding a combination of differential application data that must be applied simultaneously.

  The screen display data generation unit 14 generates data for displaying the display screen P101 for allowing the user to select which data to apply to the PSM data 63 for each combination stored in the tag combination data table 35. Means. The display screen P101 is a screen as shown in FIG. In FIG. 21, a check box for allowing the user to select whether to apply each combination included in the tag combination data table 35 is provided.

  When the PIM data 51 is corrected and the PIM data 51 ′ is generated, the difference applying unit 15 generates the difference applied PSM data 63 ′ from the PIM data 51 ′ based on the conversion rule data and the difference application data 33. Specifically, the difference applying unit 15 first generates PSM data 63 from the PIM data 51 ′ and stores it in the repository data 21. Further, the difference application unit 15 acquires the PSM data 63 from the repository data 21, applies the difference application data to the PSM data 63, and generates the difference application PSM data 63 '.

  At this time, the difference application unit 15 acquires an address from the tag combination data table 35 for the combination for which the check box is checked by the user on the display screen P101 shown in FIG. 21, and uses the acquired address as a key for the difference application data. Difference application data is acquired from the table 34. The difference application unit 15 adds or deletes an element or changes an attribute value of the element based on the acquired difference application data.

  As described above, the conversion device according to the best embodiment of the present invention can realize a partial round trip that can absorb improvements and changes in the upstream process in the downstream process. Thereby, the development work in an upstream process and the development work in a downstream process can be advanced in parallel. Furthermore, it is possible to reduce the man-hours related to development and realize efficient system development.

  In addition, according to the conversion device according to the best embodiment of the present invention, it is possible to absorb the elimination of the return process and the change of the downstream process when a change occurs in the upstream process, thereby improving productivity. Further, in the best embodiment, the case where the PIM data that is the upstream process product is changed has been described. However, the conversion rule data when the upstream process product data is converted into the downstream process product data is changed. Even if it occurs, it can be absorbed by the same treatment.

  Furthermore, according to the conversion apparatus according to the preferred embodiment of the present invention, the iterative process can be realized by realizing a partial round trip. Therefore, quality in system development can be improved.

(Other embodiments)
Although the present invention has been described with reference to the preferred embodiment, it should not be understood that the description and drawings constituting a part of this disclosure limit the present invention. From this disclosure, various alternative embodiments, examples, and operational techniques will be apparent to those skilled in the art.

  For example, the approval support apparatus described in the best embodiment of the present invention may be configured on one piece of hardware as shown in FIG. 9, or on a plurality of pieces of hardware according to the functions and the number of processes. It may be configured. Moreover, you may implement | achieve on the existing converter.

  In the best embodiment of the present invention, the case where the upstream process product data is PIM data and the downstream process product data is PSM data has been described. However, the present invention can also be applied to other data.

  It goes without saying that the present invention includes various embodiments not described herein. Therefore, the technical scope of the present invention is defined only by the invention specifying matters according to the scope of claims reasonable from the above description.

It is a figure explaining the outline | summary of the process in the best embodiment of this invention. In the best embodiment of the present invention, it is a class diagram explaining an example of PIM data. FIG. 5 is a class diagram illustrating an example of new PIM data modified from PIM data in the best mode of the present invention. In the best mode of the present invention, it is a class diagram explaining an example of PSM data converted from PIM data. In the best mode of the present invention, it is a class diagram explaining an example of new PSM data corrected from PSM data. FIG. 5 is a class diagram illustrating an example of new PSM data converted from new PIM data in the best mode of the present invention. In the best embodiment of the present invention, it is a figure explaining in detail conversion of model data by a conversion tool. It is a hardware block diagram of the converter which concerns on the best embodiment of this invention. It is a functional block diagram of the conversion apparatus which concerns on the best embodiment of this invention. FIG. 10A is a diagram for explaining the data structure of difference extraction data of the conversion apparatus according to the best embodiment of the present invention, and FIG. FIG. 10B shows the difference extraction data for the element having id. It is difference extraction data for an element having no id. In the conversion device according to the preferred embodiment of the present invention, xmi. It is a figure explaining the difference extraction data of the element which has id. In the conversion device according to the preferred embodiment of the present invention, xmi. It is a figure explaining the difference extraction data of the element which does not have id. It is a flowchart explaining the difference extraction data production | generation process of the converter concerning the best embodiment of this invention. It is a figure explaining the comparison of each difference extraction data in the difference extraction data comparison process of the converter concerning the best embodiment of this invention. It is a figure explaining deletion of difference extraction data in difference extraction data comparison processing of a conversion device concerning a best mode of the present invention. It is a flowchart explaining the difference extraction data comparison process of the converter concerning the best embodiment of this invention. It is a figure explaining the data structure of difference application data of the converter concerning the best embodiment of the present invention. It is a figure explaining an example of the data of the difference application data of the converter concerning the best embodiment of the present invention. It is a figure explaining an example of the data structure and data of the difference application data table of the conversion apparatus which concerns on the best embodiment of this invention. It is a figure explaining an example of the data structure and data of a tag combination data table of the converter concerning the best embodiment of the present invention. It is an example of the display screen displayed based on the screen display data produced | generated by the screen display data production | generation means of the converter concerning the best embodiment of this invention. It is a figure explaining PSM data being created from PIM data by a conversion tool. It is a figure explaining the problem of the conventional development process.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... Conversion apparatus 11 ... Filtering means 12 ... Difference extraction means 12a ... Difference extraction data generation means 12b ... Difference extraction data comparison means 12c ... Difference application data generation means 13 ... Tag combination data generation means 14 ... Screen display data generation means 15 ... Difference application means 21 ... Repository data 22 ... Difference application PSM data 32a, 32b ... Difference extraction data 33 ... Difference application data 34 ... Difference application data table 35 ... Tag combination data table 36 ... Screen display data 51, 51 '... PIM data 61 62, 63 ... PSM data 101 ... Central processing controller 102 ... ROM
103 ... RAM
104 ... Input device 105 ... Display device 106 ... Communication control device 107, 107a, 107b ... Storage device 108 ... Removable disk 109 ... Input / output interface 110 ... Bus

Claims (8)

A conversion device that generates downstream process product data from upstream process product data based on conversion rule data,
Repository storage means for storing, in a storage device, first upstream process product data, and the first downstream process product data generated from the first upstream process product data based on the conversion rule data; ,
Modified data storage means for storing in the storage device second downstream process product data modified from the first downstream process product data;
The first downstream process product data is compared with the second downstream process product data, and the difference between the first downstream process product data and the second downstream process product data is applied as a difference. Difference extraction means for outputting as data and storing the difference application data in the storage device;
When the first upstream process product data is corrected and second upstream process product data is generated, the second upstream process product data is generated based on the conversion rule data and the difference application data. A difference applying means for generating third downstream process result data. The difference extraction means includes
The first difference extraction data is generated from the first downstream process product data, and the second difference extraction data is generated from the second downstream process product data, and the first difference extraction data and Differential extraction data generating means for storing the second differential extraction data in the storage device;
Differential extraction data comparison means for reading the first differential extraction data and the second differential extraction data from the storage device, and comparing the first differential extraction data with the second differential extraction data;
The difference application data generation means for outputting the difference application data based on a comparison result by the difference extraction data comparison means and storing the difference application data in the storage device. Conversion device. The first and second upstream process product data and the first and second downstream process product data are document data that can be expressed in a tree structure and expressed by a plurality of elements,
The difference extraction data generation means associates, for each element of the first downstream process product data, an element name of the element, a list of attribute names and attribute values associated with the element, and an identifier of the element The first difference extraction data is generated, and for each element of the second downstream process result data, an element name of the element, a list of attribute names and attribute values associated with the node, and an identifier of the element Generating the associated second difference extraction data;
The difference extraction data comparison unit creates partial tree data for each of the first difference extraction data and the second difference extraction data, and the partial tree data of the first difference extraction data and the second difference Extract subtree data having the same subtree data of the extracted data, delete the subtree data from each of the first differential extraction data and the second differential extraction data, and extract the partial tree data of the first differential extraction data and the first differential data. For each element included in subtree data having different subtree data of two difference extraction data, the elements having the same element name, attribute name list, and attribute value list are extracted to obtain the first difference extraction data Deleting from each of the second difference extraction data;
The difference application data generation means sets the element classification associated with the element identifier common to each of the first difference extraction data and the second difference extraction data to change, and sets the first difference The element classification associated with the identifier of the element that is included in the extracted data and not included in the second difference extracted data is set to delete, and the first difference extracted data included in the second difference extracted data The element classification associated with the element identifier not included in the element is set to delete, the difference application data associated with the element identifier and the classification is output, and the difference application data is stored in the storage device The conversion device according to claim 2. A conversion device that generates downstream process product data from upstream process product data based on conversion rule data,
Repository storage means for storing upstream process product data and the first downstream process product data generated from the upstream process product data based on first conversion rule data in a storage device;
Modified data storage means for storing in the storage device second downstream process product data modified from the first downstream process product data;
The first downstream process product data is compared with the second downstream process product data, and the difference between the first downstream process product data and the second downstream process product data is applied as a difference. Difference extraction means for outputting as data and storing the difference application data in the storage device;
When the first conversion rule data is corrected and the second conversion rule data is generated, the third downstream from the upstream process product data based on the second conversion rule data and the difference application data. A conversion device comprising: difference application means for generating process product data. A conversion program for generating downstream process product data from upstream process product data based on conversion rule data,
Repository storage means for storing, in a storage device, first upstream process product data, and the first downstream process product data generated from the first upstream process product data based on the conversion rule data; ,
Modified data storage means for storing in the storage device second downstream process product data modified from the first downstream process product data;
Comparing the difference between the first downstream process product data and the second downstream process product data by comparing the first downstream process product data and the second downstream process product data Difference extraction means for outputting as data and storing the difference application data in the storage device;
When the first upstream process product data is modified and second upstream process product data is generated, the second upstream process product data is generated based on the conversion rule data and the difference application data. A conversion program for causing a computer to realize difference application means for generating third downstream process result data. A conversion program for generating downstream process product data from upstream process product data based on conversion rule data,
Repository storage means for storing upstream process product data and the first downstream process product data generated from the upstream process product data based on the first conversion rule data in a storage device;
Modified data storage means for storing in the storage device second downstream process product data modified from the first downstream process product data;
The first downstream process product data is compared with the second downstream process product data, and the difference between the first downstream process product data and the second downstream process product data is applied as a difference. Difference extraction means for outputting as data and storing the difference application data in the storage device;
When the first conversion rule data is corrected and second conversion rule data is generated, the third downstream from the upstream process product data based on the second conversion rule data and the difference application data. A conversion program for causing a computer to realize difference application means for generating process product data. A conversion method for generating downstream process product data from upstream process product data based on conversion rule data,
A repository storage step of storing, in a storage device, first upstream process product data and the first downstream process product data generated from the first upstream process product data based on the conversion rule data; ,
A modified data storage step of storing in the storage device second downstream process product data modified from the first downstream process product data;
The first downstream process product data is compared with the second downstream process product data, and the difference between the first downstream process product data and the second downstream process product data is applied as a difference. A difference extraction step for outputting as data and storing the difference application data in the storage device;
When the first upstream process product data is corrected and second upstream process product data is generated, the second upstream process product data is generated based on the conversion rule data and the difference application data. A difference applying step of generating third downstream process result data. A conversion method for generating downstream process product data from upstream process product data based on conversion rule data,
A repository storage step of storing upstream process product data and the first downstream process product data generated from the upstream process product data based on first conversion rule data in a storage device;
A modified data storage step of storing in the storage device second downstream process product data modified from the first downstream process product data;
The first downstream process product data is compared with the second downstream process product data, and the difference between the first downstream process product data and the second downstream process product data is applied as a difference. A difference extraction step of outputting as data and storing the difference application data in the storage device;
When the first conversion rule data is corrected and the second conversion rule data is generated, the third downstream from the upstream process product data based on the second conversion rule data and the difference application data. A difference application step for generating process product data.

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