JP6150059B2 - Asset extraction apparatus, asset extraction method and program - Google Patents

Description

  The present invention relates to software and service development methods using assets, and relates to identification and extraction of asset groups that are advantageous to reuse in a design process.

  In order to improve the productivity of software and service development, attempts have been made to reuse development artifacts such as standardized software components and template documents. If the details of requirements and specifications are confirmed, development artifacts can be searched from almost the same past projects and reused.

  However, in recent years, if development that gradually approaches the target is performed through repeated development in a short period of time through agile development and rapid prototyping without the details of requirements and specifications being finalized, the development work product will be re-released. It becomes difficult to use. The reason for this is that, due to repetition, uncertainties (range of values) occur in requirements and specifications, and there are many options for applying past development information, making it difficult to select the most appropriate one. As a result, by reusing an asset that is not the most appropriate one, the number of parts to be corrected or changed increases, and the development man-hours increase.

  By the way, agile development and rapid prototyping are aimed at short-term development. Especially when the use of a cloud environment is assumed, expectations for immediately deploying and executing developed software and services are remarkable.

  Therefore, at the time of development, in addition to the functional requirements of software and services, there is an increasing need to consider requirements and restrictions in the implementation / execution process, such as maintainability of operation management and ease of improvement. .

  In Patent Document 1 and Patent Document 2, a multi-objective optimization design method using a set base is shown.

  The technology common to Patent Documents 1 and 2 introduces a preference that reflects the design intention of the designer, and derives a design specification that compromises multi-purpose as a range value, enabling product design with little change during development I have to.

  However, the technologies common to Patent Documents 1 and 2 pay attention to the diversity of purposes in the design process, and do not include the concept of a provision process until software and services are developed, provided, and improved. For this reason, the technologies common to Patent Documents 1 and 2 are the same design object such as consideration of operation requirements, and the conditions and constraints in the execution phase cannot be systematically considered at the same time.

  Non-Patent Document 1 describes the concept of software product line engineering.

  The technology of Non-Patent Document 1 is to separate development assets into a core part and a derivative part along the provision process in order to improve the development of software products with similar specifications. A development method that reuses core assets It is an idea that makes possible.

  However, since the technique of Non-Patent Document 1 indicates the construction of the core part for each domain of the software product as a guideline, the identification step of the core part that becomes the asset is not clear.

Japanese Patent No. 4528962 JP 2010-55466 A

Klaus Pohl, Gunter Bockle, Frank J. van der Linden: Software Product Line Engineering: Foundations, Principles and Techniques, Springer, 2005.

  By the way, in the development of software and services that start with the details of specifications and operating conditions being uncertain, there is a problem that productivity decreases when development is performed by reusing assets such as software and documents.

  The reason is that if the details of the specifications and operation conditions are indeterminate, the number of assets that can be matched increases, making it difficult to select assets that are highly compatible. Also, at the time of designing software and services, it is difficult to consider not only the design viewpoint of planners and designers, but also the execution viewpoint of implementers and operators in other processes such as post-processes. is there.

  The asset extraction apparatus according to the aspect of the present invention is not only designed by a planner or a designer, but also considers execution viewpoints (constraints) of implementers and operators in the subsequent process in advance. Extract and extract highly available software, documents, and other assets from the repository. That is, the asset extraction device according to the aspect of the present invention associates the design process with the stakeholders of the mounting / execution process that is the subsequent process, synthesizes the design intention and the execution intention, and further synthesizes the requirement possibility distribution. By extracting assets, adaptability and reusability are improved in target software and service development.

  Specifically, according to the first aspect of the present invention, an asset-related information input unit that inputs a possibility distribution of requirements that are objective design variables, provision process information until the service is provided, and a design process Design intention distribution for the specified design variable, execution intention distribution for the design variable specified in the implementation / execution process, asset search condition input section for inputting the target design variable name, and the asset related information input section An asset-related information storage unit that stores input asset-related information, an asset information storage unit that stores asset information, an asset information search unit that extracts asset information from the asset information storage unit, and an extraction result obtained And an asset information output unit that outputs an asset group.

  According to the second aspect of the present invention, the possibility distribution of requirements as objective design variables, the asset related information input stage for inputting provision process information until the service is provided, and the design variables specified in the design process The distribution of design intentions for the target, the distribution of execution intentions for the design variables specified in the implementation / execution process, the asset search condition input stage for inputting the target design variable name, and the asset relation input in the asset related information input stage An asset-related information storage stage for storing information, an asset information storage stage for storing asset information, an asset information search stage for extracting asset information from the information stored in the asset information storage stage, and an extraction result obtained An asset information output stage for outputting an asset group, and an asset extraction method comprising: .

  According to the third aspect of the present invention, the asset-related information input process for inputting the possibility distribution of the requirements as the target design variables and the provision process information until the service is provided to the computer, and the design process Design intention distribution for design variables, execution intention distribution for design variables specified in the implementation / execution process, asset search condition input process for entering the target design variable name, and asset related information input process. Asset-related information storage processing for storing the asset-related information, asset information storage processing for storing asset information, asset information search processing for extracting asset information from the information stored in the asset information storage processing, and extraction results A program to execute asset information output processing that outputs the obtained asset group is provided. It is.

  According to the present invention, the cost of development using assets can be reduced. The reason is that asset suitability is improved because the asset group to be applied is narrowed down.

  Further, according to the present invention, asset management becomes easy. The reason for this is that assets that do not remain when narrowing down are considered to have lost their validity and can be deleted from the asset repository.

  Further, according to the present invention, the possibility of the design value range can be narrowed down even when the designer's or practitioner's thoughts and intentions are unknown. The reason is that it can be assumed that the design solution is included in the asset in the repository, which is a past performance, and therefore the range of the unknown design value can be estimated using the data of the closest asset in the repository.

It is a block diagram for demonstrating the structural example of embodiment of the asset extraction apparatus by this invention. It is a flowchart for demonstrating the operation example of embodiment of the asset extraction apparatus by this invention. It is a flowchart for demonstrating the operation example of embodiment of the asset extraction apparatus by this invention. It is a figure for demonstrating an example of the possibility distribution of a requirement relevant to this invention. It is a figure for demonstrating an example of the provision process information relevant to this invention. It is a figure for demonstrating the structural example of the asset relevant information relevant to this invention. It is a figure for demonstrating an example of the design intent information of the design variable relevant to this invention. It is a figure for demonstrating an example of the execution intention information of a design variable relevant to this invention. It is a figure for demonstrating an example of the design variable and objective design variable relational function relevant to this invention. It is a figure for demonstrating the example of a synthesis | combination of design intention information and execution intention information relevant to this invention. It is a figure for demonstrating the narrowing-down example of a search condition relevant to this invention. It is a figure for demonstrating the structural example of asset information relevant to this invention.

  Next, an embodiment of the present invention will be described in detail with reference to FIGS. FIG. 1 is a block diagram illustrating a configuration example of an asset extraction device 100 according to an embodiment of the present invention.

[Description of configuration]
The asset extraction device 100 includes an asset related information input unit 110, an asset search condition input unit 140, an asset information search unit 180, an asset related information storage unit 220 as a repository, an asset information storage unit 230, and an asset information output. Part 240.

  The asset related information input unit 110 includes a requirement possibility distribution input unit 120, a provision process information input unit 130, and a determination unit 135.

  The asset search condition input unit 140 includes a design variable design intention information input unit 150, a design variable execution intention information input unit 160, and a target design variable name designation unit 170.

  The asset information search unit 180 includes an objective design variable distribution calculation unit 190, an asset search condition calculation unit 200, and an asset information search execution unit 210. The asset information search unit 180 holds the design variable / objective design variable relationship function shown in FIG. 9, and refers to the design variable / objective design variable relationship function from the object design variable distribution calculation unit 190 and the asset search condition calculation unit 200. To do.

  The asset related information storage unit 220 stores asset related information 320 (see FIG. 6) including the requirement possibility distribution described in FIG. 4 and the provision process information described in FIG. As shown in FIG. 6, the asset related information 320 is configured in the form of {(requirement possibility distribution, provision process information), asset information file name}.

  The asset information storage unit 230 stores the asset information 360 shown in FIG. 12, and the asset information output unit 240 outputs the asset information 360. In FIG. 12, asset information 360 is configured in the form of {asset target file, attribute}, and the attribute is represented by {file name, file structure}.

[Description of operation]
Next, the operation of the asset extraction device according to this embodiment will be described.

  Assume that the asset information 360 is stored in advance in the asset information storage unit 230 of the asset extraction device 100 through the asset information input unit 250 included in the assetization tool or the like.

  The asset-related information input step will be described with reference to FIG. In the asset extraction apparatus 100, the requirement possibility distribution indicating the distribution of the secondary design variable that is the target of performance or the like is input to the requirement possibility distribution input unit 120 of the asset related information input unit 110 (step S100). In parallel with step S100, the provision process information is input to the provision process information input unit 130 (step S110). Subsequently, the determination unit 135 confirms whether the provided process information input from the provided process information input unit 130 has a pair structure (has a common range) (step S120), and No in step S120. If there is, the process returns to step S110 to repeat the data input of the provision process information. The provision process information input unit 130 may have the function of the determination unit 135.

  In order to model the design process and the implementation / execution process as in the V-shaped model in software development along the development process, and to measure the difference between the assumed value in the design process and the actual situation and constraints, in step S110 Supplied process information for managing the design process and the mounting / execution process in pairs is input. The asset related information storage unit 220 stores the requirement possibility distribution input in step S100 and the provision process information input in step S110 and having a common range (step S130).

  Next, the asset information extraction step will be described with reference to FIG. In the asset search condition input unit 140, the following input is executed as step S200. Design variable design intention information input section 150 receives design variable design intention information indicating the intention distribution of primary design variables such as the size of the designer. In addition, the design variable execution intention information input unit 160 receives design variable execution intention information indicating an intention distribution of the same primary design variable as viewed from the practitioner. In addition, the objective design variable name designation unit 170 inputs the objective design variable name. FIG. 7 and FIG. 8 show an example of design intention information of design variables and an example of execution intention information of design variables. The design intention information and execution intention information are normally distributed in order to approximate the actual distribution state. Such a distribution curve may be used.

  Next, in the asset information search unit 180, the following steps are executed. The objective design variable distribution calculation unit 190 derives an objective design variable for each of the design intention information and the execution intention information of the design variable using the design variable / objective design variable relation function shown in FIG. 9 (step S210). The asset search condition calculation unit 200 acquires the corresponding asset related information 320 (see FIG. 6) from the asset related information storage unit 220 using the design variable name from which the target design variable name is derived (step S220). ) To obtain the object design variable (common range) (step S230).

  Subsequently, the asset information search execution unit 210 in the asset information search unit 180 confirms whether or not there is the common range in step S240. If there is a common range, the process proceeds to step S250, and the common part As a design solution, matching asset information 360 (see FIG. 12) is extracted from the asset information storage unit 230. The asset information search execution unit 210 outputs the asset information 360 obtained as a result of the above to the asset information output unit 240 and displays it on a monitor (not shown) (step S260). If there is no common part in step S240, there is no design solution, and the process ends without searching the asset information 360 (step S270).

[Example]
Next, operations will be described using specific numerical values and the like as an embodiment of the present invention with reference to FIGS.

  In the asset extraction apparatus 100, the requirement possibility distribution (FIG. 4) relating to the target value of the message processing performance is input to the asset related information input unit 110 (step S100), while the provision process information input unit 130 is V-shaped. Provided process information (FIG. 5) expressed like a model is input (step S110). For example, the target value of the message processing performance is that the number X of request messages processed per unit time is inadequate when the number of requests message processing X is in the range of 0 to 80 (0 ≦ X <80). Slightly insufficient and undesired range (80 ≦ X <100), 100 to 150 cases have proper performance range (100 ≦ X <150), 150 to 170 cases have slightly overly undesired range (150 ≦ X <170), 170 or more cases are considered to be excessive and impossible (170 ≦ X). The provided process information relates to the development of a message processing thread program, and consists of (1) function design, (2) detailed design, (3) implementation, and (4) operation.

  Next, in step S120, it is confirmed whether or not the input provided process information has a pair structure (has a common range). If yes, the process proceeds to step S130, and the asset related information storage unit 220 determines. The requirement possibility distribution and the provision process information having the common range are stored.

  Next, in the asset search condition input unit 140, the following input operation is executed as step S200 in FIG. Design variable design intention information indicating the intention distribution of the primary design variable such as the size of the designer is input to the design variable design intention information input unit 150. Design variable execution intention information input unit 160 receives design variable execution intention information 340 indicating the intention distribution of the same primary design variable as viewed from the practitioner. In addition, “message processing performance” is input to the objective design variable name designating unit 170 as the objective design variable name. Here, the design intent information of the design variable emphasizes performance (1) As a functional design, the number of threads is set to 7 as a median value, and (2) As a detailed design, the backlog size of connection reception is indefinite (infinite) Set. In addition, in order to match the performance level with other cooperative systems, the execution intention information is (3) implementation, the connection reception backlog size is 10 as the median value, and (4) operation, the number of threads is 6 as the center. Set to value. Here, the distributions (1) and (4) give distribution curves shown in FIGS. 7 and 8, respectively.

  The asset information search unit 180 executes the following operations. The objective design variable distribution calculation unit 190 calculates an objective design variable for each of the design intention information and the execution intention information of the design variable using the design variable / objective design variable relation function (FIG. 9) (step S210). Here, the design variable / target design variable relation function is F (X) = X * 20 (0 ≦ X ≦ 10), F (X) = 200 (10 <X) (X is the number of threads, F (X) Is processing performance (number of messages processed / unit time)). Here, paying attention to the above (1) and (4), the above (1) is the number of message processing: 140 messages / unit time. Further, (4) is the number of message processes: 120 cases / unit time. As a result of synthesizing the above, FIG. 9 is obtained.

  The asset search condition calculation unit 200 uses the “message processing performance per unit time” that is the derivation source of the “message processing performance” of the target design variable name, from the asset-related information storage unit 220 to apply the relevant asset-related information. 320 is obtained (step S220), and the one that matches the common range with the target design variable is obtained (step S230). As a result, a common range by synthesis as shown in FIG. 10 is obtained. In this synthesis method, the two distributions of the design intention information and the execution intention information may be simply added, or both distributions may be weighted and synthesized.

  Here, since the target design variables are narrowed to the range of 80 to 170, the range of 4 to 8 (<8.5) threads is set using the design variable / target design variable relation function. The asset information search execution unit 210 uses the specification of the thread as a design solution, uses the attribute of the asset information storage unit 230 to search the structure of each file of the asset information 360 having the range value, and corresponds to the thread. A function specification file, a detailed design file, a software program, an operation manual, etc. that match the values of the locations are extracted (step S250). The asset information search execution unit 210 outputs the extracted asset information 360 to the asset information output unit 240 and displays it on a monitor (not shown) (step S260). At this time, the files may be output in the order of the number of matching items, and recommended to the developer as having high reusability.

  As mentioned above, although this invention was demonstrated based on embodiment, this invention is not limited to the said embodiment. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the spirit and scope of the present invention described in the claims.

  Moreover, although a part or all of said embodiment can be described also as the following additional remarks, it is not restricted to the following.

[Appendix 1]
Asset-related information input part that inputs the possibility distribution of requirements that become objective design variables, the provision process information until the service is provided,
Distribution of design intentions for design variables specified in the design process, distribution of execution intentions for design variables specified in the implementation / execution process, and asset search condition input part for inputting the target design variable name,
An asset-related information storage unit for storing asset-related information input in the asset-related information input unit;
An asset information storage unit for storing asset information;
An asset information search unit for extracting asset information from the asset information storage unit;
An asset information output unit for outputting an asset group obtained as an extraction result;
An asset extraction device comprising:

[Appendix 2]
The asset extraction device according to attachment 1, wherein the asset information search unit includes a distribution of design intentions for design variables specified in a design process and a distribution of execution intentions for design variables specified in an implementation / execution process. From each, calculate the possible distribution of the objective design variable using a predetermined function, and specify the range of the objective design variable that fits the entire development process.
An asset extraction device characterized by that.

[Appendix 3]
The asset extraction device according to attachment 2, wherein the asset information search unit further adds a possibility distribution of a requirement to be a target design variable to a calculation result of a distribution that the target design variable can take, To narrow the possible range of variables,
An asset extraction device characterized by that.

[Appendix 4]
The asset extraction device according to attachment 3, wherein the asset information search unit extracts, from the repository, an asset group having a value of the design variable derived from the target design variable from the target design variable narrowed down the possible range. Extract,
An asset extraction device characterized by that.

[Appendix 5]
The asset extraction device according to any one of appendices 1 to 4, wherein the asset related information input unit inputs a requirement possibility distribution input unit for inputting the possibility distribution of the requirement, and the provision process information Providing process information input section for
An asset extraction device characterized by comprising:

[Appendix 6]
The asset extraction device according to any one of appendices 1 to 5, wherein the asset search condition input unit includes:
A design intent information input unit for inputting design intent information of a design variable indicating an intention distribution of primary design variables;
An execution intention information input unit for inputting execution intention information of the design variable indicating the intention distribution of the same primary design variable as seen from the performer;
Objective design variable name specification part for inputting objective design variable name,
An asset extraction device characterized by comprising:

[Appendix 7]
The asset extraction device according to attachment 6, wherein the asset information search unit includes:
For each of the design intention information of the design variable and the execution intention information of the design variable, a target design variable distribution calculation unit for calculating a target design variable using a design variable / target design variable relation function;
Asset search condition for obtaining corresponding asset-related information from the asset-related information storage unit using the design variable name from which the target design variable name is derived, and obtaining a common range that matches the target design variable A calculation unit;
Check whether there is a common range, and if there is a common range, use the common part as a design solution to extract matching asset information from the asset information storage unit and output the obtained asset information Asset information search execution part of
An asset extraction device characterized by comprising:

[Appendix 8]
Asset-related information input stage to input the distribution of possibility of requirements as objective design variables, provision process information until service provision,
Distribution of design intentions for design variables specified in the design process, distribution of execution intentions for design variables specified in the implementation / execution process, and asset search condition input stage for inputting the target design variable name,
An asset related information storage stage for storing the asset related information input in the asset related information input stage;
An asset information storage stage for storing asset information;
An asset information search stage for extracting asset information from the information stored in the asset information storage stage;
An asset information output stage for outputting the asset group obtained as an extraction result;
An asset extraction method characterized by including:

[Appendix 9]
The asset extraction method according to attachment 8, wherein, in the asset information search stage, the distribution of the design intention for the design variable specified in the design process and the distribution of the execution intention for the design variable specified in the implementation / execution process. From each, calculate the possible distribution of the objective design variable using a predetermined function, and specify the range of the objective design variable that fits the entire development process.
An asset extraction method characterized by that.

[Appendix 10]
The asset extraction method according to attachment 8, wherein, in the asset information search stage, the target design variable is further added to the calculation result of the distribution that can be taken by the target design variable, and the possibility distribution of the requirement that becomes the target design variable is added. To narrow the possible range of variables,
An asset extraction method characterized by that.

[Appendix 11]
The asset extraction method according to attachment 10, wherein, in the asset information search stage, an asset group having a design variable value derived from the target design variable is extracted from the repository from the target design variable narrowed down the possible range. Extract,
An asset extraction method characterized by that.

[Appendix 12]
The asset extraction method according to any one of appendices 8 to 11, wherein the asset related information input step includes:
A requirement probability distribution input stage for inputting the probability distribution of the requirement;
A providing process information input step for inputting the providing process information;
An asset extraction method characterized by comprising:

[Appendix 13]
The asset extraction method according to any one of appendices 8 to 12, wherein the asset search condition input step includes:
A design intent information input stage for inputting design intent information of the design variable indicating an intention distribution of the primary design variable;
An execution intention information input stage for inputting execution intention information of a design variable indicating an intention distribution of the same primary design variable as viewed from the performer,
Objective design variable name specification stage for inputting objective design variable name,
An asset extraction method characterized by comprising:

[Appendix 14]
The asset extraction method according to attachment 13, wherein the asset information search stage includes:
For each of the design intention information of the design variable and the execution intention information of the design variable, a target design variable distribution calculation stage for calculating a target design variable using a design variable / target design variable relation function;
Asset search condition for obtaining corresponding asset-related information from the asset-related information storage unit using the design variable name from which the target design variable name is derived, and obtaining a common range that matches the target design variable The calculation stage;
Check whether there is a common range, and if there is a common range, use the common part as a design solution to extract matching asset information from the asset information storage unit and output the obtained asset information The asset information search execution stage of
An asset extraction method characterized by comprising:

[Appendix 15]
On the computer,
Asset-related information input process to input the distribution of possibility process of requirements that become objective design variables, provision process information until service is provided,
Distribution of design intentions for design variables specified in the design process, distribution of execution intentions for design variables specified in the implementation / execution process, and asset search condition input processing for inputting the target design variable name,
An asset related information storage process for storing the asset related information input in the asset related information input process;
Asset information storage processing for storing asset information;
An asset information search process for extracting asset information from the information stored in the asset information storage process;
Asset information output processing for outputting the asset group obtained as an extraction result,
A program for running

[Appendix 16]
The program according to attachment 15, wherein, in the asset information search process, a distribution of a design intention for a design variable specified in a design process and a distribution of an execution intention for a design variable specified in a mounting / execution process. , Calculate the possible distribution of the objective design variable using a predetermined function, and identify the range of the objective design variable that fits the entire development process,
A program characterized by that.

[Appendix 17]
The program according to attachment 16, wherein, in the asset information search process, the calculation result of the distribution that can be taken by the target design variable is further added to the possibility distribution of the requirement that becomes the target design variable, and the target design variable Narrow the possible range,
A program characterized by that.

[Appendix 18]
The program according to attachment 17, wherein in the asset information search process, an asset group having a design variable value derived from the target design variable is extracted from the repository from the target design variable with the possible range narrowed down. ,
A program characterized by that.

  As an application example of the present invention, when a service administrator continuously develops a service for a plurality of users, an asset search mechanism, a management mechanism, a mechanism for recommending an asset highly compatible with a target service item, etc. It can be used as an asset management tool.

DESCRIPTION OF SYMBOLS 100 Asset extraction apparatus 110 Asset related information input part 120 Requirement possibility distribution input part 130 Provision process information input part 135 Judgment part 140 Asset search condition input part 150 Design variable design intention information input part 160 Design variable execution intention information input part 170 Purpose Design variable name designation unit 180 Asset information search unit 190 Objective design variable distribution calculation unit 200 Asset search condition calculation unit 210 Asset information search execution unit 220 Asset related information storage unit 230 Asset information storage unit 240 Asset information output unit 250 Asset information input unit 250 320 Asset-related information 360 Asset information

Claims (10)

Asset-related information input part that inputs the possibility distribution of requirements that become objective design variables, the provision process information until the service is provided,
Distribution of design intentions for design variables specified in the design process, distribution of execution intentions for design variables specified in the implementation / execution process, and asset search condition input part for inputting the target design variable name,
An asset-related information storage unit for storing asset-related information input in the asset-related information input unit;
An asset information storage unit for storing asset information;
An asset information search unit for extracting asset information from the asset information storage unit;
An asset information output unit for outputting an asset group obtained as an extraction result;
An asset extraction device comprising: The asset extraction device according to claim 1, wherein the asset information search unit includes a distribution of design intentions for design variables specified in a design process and a distribution of execution intentions for design variables specified in a mounting / execution process. From each of the above, calculate the possible distribution of the objective design variable using a predetermined function, and identify the range of the objective design variable that fits the entire development process.
An asset extraction device characterized by that. The asset extraction device according to claim 2, wherein the asset information search unit further adds a possibility distribution of a requirement to be a target design variable to a calculation result of a distribution that can be taken by the target design variable. Narrow down the possible range of design variables,
An asset extraction device characterized by that. 4. The asset extraction device according to claim 3, wherein the asset information search unit repositories assets having values of design variables derived from the target design variables from the target design variables narrowed down the possible range. Extract from the
An asset extraction device characterized by that. 5. The asset extraction device according to claim 1, wherein the asset search condition input unit includes:
A design intent information input unit for inputting design intent information of a design variable indicating an intention distribution of primary design variables;
An execution intention information input unit for inputting execution intention information of the design variable indicating the intention distribution of the same primary design variable as seen from the performer
Objective design variable name specification part for inputting objective design variable name,
An asset extraction device characterized by comprising: The asset extraction device according to claim 5, wherein the asset information search unit includes:
For each of the design intention information of the design variable and the execution intention information of the design variable, a target design variable distribution calculation unit for calculating a target design variable using a design variable / target design variable relation function;
Asset search condition for obtaining corresponding asset-related information from the asset-related information storage unit using the design variable name from which the target design variable name is derived, and obtaining a common range that matches the target design variable A calculation unit;
Check whether there is a common range, and if there is a common range, use the common part as a design solution to extract matching asset information from the asset information storage unit and output the obtained asset information Asset information search execution part of
An asset extraction device characterized by comprising: Asset-related information input stage to input the distribution of possibility of requirements as objective design variables, provision process information until service provision,
Distribution of design intentions for design variables specified in the design process, distribution of execution intentions for design variables specified in the implementation / execution process, and asset search condition input stage for inputting the target design variable name,
An asset related information storage stage for storing the asset related information input in the asset related information input stage;
An asset information storage stage for storing asset information;
An asset information search stage for extracting asset information from the information stored in the asset information storage stage;
An asset information output stage for outputting the asset group obtained as an extraction result;
An asset extraction method characterized by including: 8. The asset extraction method according to claim 7, wherein in the asset information search stage, a distribution of design intentions for design variables specified in a design process and a distribution of execution intentions for design variables specified in a mounting / execution process. From each of the above, calculate the possible distribution of the objective design variable using a predetermined function, and identify the range of the objective design variable that fits the entire development process.
An asset extraction method characterized by that. The asset extraction method according to claim 7, wherein in the asset information search stage, a calculation result of a distribution that can be taken by the target design variable is further added to a possibility distribution of a requirement that becomes a target design variable. Narrow down the possible range of design variables,
An asset extraction method characterized by that. On the computer,
Asset-related information input process to input the distribution of possibility process of requirements that become objective design variables, provision process information until service is provided,
Distribution of design intentions for design variables specified in the design process, distribution of execution intentions for design variables specified in the implementation / execution process, and asset search condition input processing for inputting the target design variable name,
An asset related information storage process for storing the asset related information input in the asset related information input process;
Asset information storage processing for storing asset information;
An asset information search process for extracting asset information from the information stored in the asset information storage process;
Asset information output processing for outputting the asset group obtained as an extraction result,
A program for running

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