JP6797038B2 - Software material selection support device and software material selection support program - Google Patents

Description

The present invention relates to a software material selection support device and a software material selection support program that support selection of software materials that can be used in software to be developed.

In recent years, in software development, we have tried to reduce the development man-hours by using existing software materials such as open source software (hereinafter referred to as "OSS"), software parts developed in-house in the past, and proven development tools. There is movement.

In response to such movements, for example, Patent Document 1 discloses a technique for supporting the selection of software materials that can be used in software development. The information processing apparatus disclosed in Patent Document 1 has a software source search means and a selection support means. The search means outputs a score indicating the degree of conformity with the selection conditions (policy) for the use candidate software source in the development property. The selection support means outputs information on the candidate software source, including an update score with weights added to the score, based on information indicating the composition of the developed property including any part of the candidate software source. ..

JP 2015-161982

However, the technology disclosed in the above-mentioned Cited Document 1 scores how well the software source to be selected meets the selection conditions such as license and code scale, and functions of the software source. It is not an evaluation for selection from the aspect. Therefore, a certain amount of knowledge and skills are required on the search side for the functions of software sources, but especially in fields such as OSS that are advancing day by day, even experts cannot keep up with the progress. In some cases. As a result, even though there are software materials that can be used, they may be implemented by themselves, and there is a fact that the demand for reducing development man-hours cannot be satisfied.

In view of the above problems, an object of the present invention is to provide a software material selection support device capable of effectively reducing development man-hours.

The software material selection support device according to the present invention is a usage tendency data that stores usage tendency relationship information indicating a relationship between a wording and a software material that tends to be used in developed software described by a document in which the wording appears. A storage unit, a search unit that extracts words appearing in a document explaining the software to be developed, and searches for the software material related to the extracted words from the usage tendency-related information, and the search unit searched by the search unit. It is characterized by having a material presentation unit that presents software materials as candidates for the software materials that can be used in the software to be developed.

According to the present invention, software that can be used in software to be developed by using usage tendency relationship information indicating a relationship between a wording and a software material that tends to be used in developed software described by a document in which the wording appears. Present candidate materials. From this, it is considered that the document explaining the developed software contains a description about the functional aspect, but the relationship between the wording appearing in the document and the software material is the same for the software to be developed. By applying to, it is possible to effectively present candidates for available software materials based on a document explaining the software to be developed.

In the present invention, the usage tendency-related information includes information indicating the degree of relevance between the wording and the software material, and the search unit develops the software material based on the information indicating the relevance of the searched software material. The effectiveness in the target software is calculated, and the material presenting unit calculates the recommendation level for the development target software based on the effectiveness of the software material searched by the search unit, and according to the recommendation level. It may be presented as a candidate for the software material. By doing so, it is possible to more appropriately present candidates for available software materials.

In the present invention, the material information data storage unit that stores information about the software material is further provided, and the material presentation unit ranks the software material searched by the search unit based on the information about the software material. A value may be calculated, a recommendation level for the software to be developed may be calculated based on the effectiveness level and the rating value, and the software material may be presented as a candidate according to the recommendation level. By doing so, it is possible to more appropriately present candidates for available software materials.

According to the present invention, it is possible to more effectively present candidates for software materials that can be used in the software to be developed, so that the reuse rate of the software materials can be increased and the development man-hours can be effectively reduced.

This is an example of a system configuration including a software material selection support device according to an embodiment of the present invention. It is a figure which shows an example of the developed software information stored in the material use history database schematically. It is a figure which shows typically an example of the data flow at the time of making a specification tendency table in a usage tendency analysis part. It is a figure which shows typically an example of the data flow at the time of making a combination tendency table in a usage tendency analysis part. It is a figure which shows an example of the specification tendency table stored in the usage tendency database. It is a figure which shows an example of the combination tendency table stored in the usage tendency database. It is a figure which shows typically an example of the data flow at the time of making a candidate material table in a search part. It is a figure which shows an example of the candidate material list created in the process of creating a candidate material table in a search part. It is a figure which shows an example of the candidate material table created by a search part. It is a figure which shows an example of the material information table stored in the material information database. It is a figure which shows an example of the recommended material table created by the material presentation part. It is a flowchart which shows an example of the software material selection support processing which concerns on this invention which is executed in the control part of the software material selection support device of FIG. It is a figure which shows an example of the screen image at the time of performing software material presentation processing.

A system including a software material selection support device according to an embodiment of the present invention will be described in detail with reference to the drawings. FIG. 1 is an example of a system configuration including a software material selection support device according to an embodiment of the present invention.

The software material selection support device of the present embodiment supports the selection of software materials by presenting candidates for software materials that can be used in the software to be developed to the developer by the following procedure.
(1) Store information (developed software information) including specifications of developed software and a list of software materials used by the developed software as a data group that is the basis for creating usage trends of software materials in a database. .. Then, by analyzing this information, the usage tendency of which software material is likely to be used is determined by the wording appearing in the specifications and the list of software materials.
(2) Enter the specifications of the software to be developed and the list of software materials to be used in the software (software information to be developed), and refer to the above-determined usage trends to select software materials that can be used in the software to be developed. And create a table (candidate material table) showing its effectiveness.
(3) For the software materials included in the created candidate material table, refer to the information related to each software material and consider how appropriate the software material is from the viewpoint of quality, cost and ease of use. The software material candidates are output according to the effectiveness and the recommendation level calculated based on the rating, and information is presented to the developer.

As shown in FIG. 1, the system 1 including the software material selection support device according to the present embodiment includes an input device 5, an output device 6, and a software material selection support device (hereinafter, simply referred to as “support device 10”). ,have.

The input device 5 is, for example, an input device such as a keyboard or a mouse, and inputs various information according to the user operation to the support device 10. Alternatively, the input device 5 may be an information processing device such as a computer connected directly to the support device 10 or via a network, and may input a file or other information that can be processed by the support device 10. .. In the present embodiment, the input device 5 also includes a storage device capable of storing various types of information, and inputs the development target software information 50 (described later) stored in the storage device to the support device 10.

The output device 6 is, for example, an output device such as a display, and has a function of displaying a processing result output by the support device 10. The output device 6 may be an information processing device connected directly to the support device 10 or via a network. In this case, the input device 5 and the output device 6 may be the same information processing device. Good.

The support device 10 includes a control unit 10a having a computer and a storage unit 10b having a storage device such as a hard disk device. The control unit 10a functions as various functional units such as the usage tendency analysis unit 12, the search unit 14, and the material presentation unit 16 by executing the program (that is, the software material selection support program) stored in the storage unit 10b. .. Further, in the storage unit 10b, a material usage history database 11, a usage tendency database 13, and a material information database 15 are constructed.

The material usage history database 11 stores information related to the usage history of software materials. Specifically, as shown in FIG. 2, the material usage history database 11 stores one or a plurality of developed software information 30 for which development has already been completed. The developed software information 30 is, for example, a document explaining the developed software, and includes a specification 31 and a material list data 32. The developed software information 30 is information in a file or other format that can be processed by the support device 10. The information stored in the material usage history database 11 is not limited to information such as the developed software information 30, but may include arbitrary information that can grasp the usage history of the software material. For example, a list of software materials in use for each user (account) on a software community site or the like may be used. This list of software materials in use is effective, for example, when selecting a software material and "software material that is easy to use at the same time" for a certain software material. Information on such software community sites can also be used as an analysis target for usage trends.

In addition, the developed software includes all software that has already been developed and can be executed regardless of the development process, the subject of development, the existence of specifications, and the like. In other words, for a company, not only the software developed by the company for its own business based on the specifications, but also the software developed by other companies or individuals and provided as so-called open source, and the specifications are not necessarily Software that has not been released is also developed software.

Specification 31 is information describing the specifications of the developed software. In the present specification, the specification may include all information necessary for describing the developed software such as the function to be realized, the language used, the development environment, and the software structure. The material list data 32 is information that identifies one or a plurality of software materials used in the developed software. It is assumed that the material list data 32 includes a list of material IDs (names, identification codes, etc.) that are information for identifying software materials stored in the material information database 15. The material ID corresponds to the software material name.

The developed software information 30 is added or updated to the material usage history database 11 manually from the input device 5, or automatically by an information processing device (not shown) connected to the support device 10. .. In the present embodiment, the material usage history database 11 is realized by the storage unit 10b, but may be virtually provided on the network cloud.

The usage tendency analysis unit 12 acquires the developed software information 30 stored in the material usage history database 11, explains the developed software included in the developed software information 30, and makes the software material easy to use (use). Analyze the relationship with (trend). The usage tendency analysis unit 12 follows the data flow schematically shown in FIGS. 3 and 4, and based on the developed software information 30, the specification tendency table 310 (FIG. 5) and the combination tendency table 320 (FIG. 6). To create.

As shown in FIG. 3, the usage tendency analysis unit 12 decomposes the specification 31 into words (that is, appearance words) for the developed software information 30 acquired from the material usage history database 11 and creates a specification word list 33. To do. The usage tendency analysis unit 12 includes the material ID of the software material included in the material list data 32 as a word (that is, the appearance wording) in the specification word list 33, and creates a specification tendency table creation list 34. To do. Then, the usage tendency analysis unit 12 performs an association analysis on the specification tendency table creation list 34 created for each developed software information 30, and performs "condition (appearance wording)" and "conclusion (material ID)". , And a correlation rule table 35 composed of a combination of “support”, “confidence” and “lift value”, which is information indicating the degree of relevance between these conditions and the conclusion. From the extracted correlation rule table 35, (1) a rule that includes the material ID of the software material in the condition and (2) a rule that the conclusion is not the material ID of the software material are removed to create the specification tendency table 310. To do.

Further, as shown in FIG. 4, the usage tendency analysis unit 12 uses the material ID of the software material included in the material list data 32 as a word (that is, appears) for the developed software information 30 acquired from the material usage history database 11. The list 36 for creating the combination tendency table including the wording) is created. Then, the usage tendency analysis unit 12 performs an association analysis on the combination tendency table creation list 36 created for each of the developed software information 30, and performs "condition (appearance wording)" and "conclusion (material ID)". In addition, a correlation rule table consisting of a combination of "support", "confidence", and "lift value", which is information indicating the degree of relevance between these conditions and the conclusion, is created, and the created correlation rule table is combined into a tendency table. It is set to 320.

FIG. 5 shows a specification tendency table, and FIG. 6 shows a combination tendency table 320. The specification tendency table 310 shows the usage tendency of which software material is likely to be used when the wording (particularly a word such as a noun) included in the specification 31 of the developed software information 30 has a characteristic. The combination tendency table 320 shows a usage tendency of which software material is likely to be used at the same time when which software material is used in the developed software. Since the specification tendency table 310 and the combination tendency table 320 are created by using association analysis, correlation rules can be comprehensively extracted, and the effectiveness of each rule is evaluated by the degree of support, the degree of certainty, and the lift value. be able to. The specification tendency table 310 and the combination tendency table 320 correspond to usage tendency-related information.

The specification trend table 310 and the combination trend table 320 have support, confidence, and lift values for the correlation rule indicated by the condition and the conclusion drawn when the condition is satisfied.

The support level is "the ratio of the number of developed software information 30 in which the correlation rule (combination of conditions and conclusions) actually appears to the total number of developed software information 30 used in the analysis".

Confidence is "the correlation rule (combination of conditions and conclusions) for the number of developed software information 30 that meets the conditions of the correlation rule among the developed software information 30 used in the analysis is actually. The ratio of the number of developed software information 30 that appears. "

The lift value (Lift) is the above-mentioned "ratio of the number of developed software information 30 using the software material shown in the conclusion of the correlation rule to the total number of developed software information 30 used in the analysis". Percentage of certainty. "

The usage tendency analysis unit 12 stores the created specification tendency table 310 and combination tendency table 320 in the usage tendency database 13. By having the usage tendency analysis unit 12, the specification tendency table 310 and the combination tendency table 320 can be updated in a timely manner.

The usage tendency database 13 stores the specification tendency table 310 and the combination tendency table 320 created by the usage tendency analysis unit 12. In the present embodiment, the usage tendency database 13 is realized by the storage unit 10b, but may be virtually provided on the network cloud. The material usage history database 11 and the usage tendency analysis unit 12 are realized in another information processing device different from the support device 10, and the specification tendency table 310 and the combination tendency table 320 created by the information processing device are used. It may be stored in the database 13. In this case, the material usage history database 11 and the usage tendency analysis unit 12 can be omitted in the support device 10. The usage tendency database 13 corresponds to a usage tendency data storage unit.

The search unit 14 becomes a usage candidate by using the specification tendency table 310 and the combination tendency table 320 stored in the usage tendency database 13 based on the document explaining the development target software input from the input device 5. Detect software material. The search unit 14 creates the candidate material table 500 according to the data flow shown in FIG. 7. It should be noted that, in FIG. 7, the specification tendency table 310 and the combination tendency table 320 are excerpts, and actually include the support, the certainty, and the lift value described above in addition to the conditions and conclusions.

In the present embodiment, the document explaining the development target software input to the search unit 14 is the development target software information 50 including the development target software specification 51 and the material list data 52. The specification 51 and the material list data 52 are the same as the specification 31 and the material list data 32 of the developed software information 30 described above. The development target software information 50 may include only one of the specification 51 and the material list data 52.

As shown in FIG. 7, the search unit 14 decomposes the specification 51 for the software information 50 to be developed, extracts words included in the specification 51, and creates a specification word list 53 including the extracted words. The search unit 14 applies the specification word list 53 to the conditions of the specification tendency table 310, and determines the material ID and certainty of the software material shown in the conclusion corresponding to the satisfied condition (determination: ○ in FIG. 7). Extract and create a candidate material list [A] 54 (FIG. 8 (a)) including the extracted material ID and certainty as the effectiveness [A]. By using the specification tendency table 310, the relationship between the characteristics of the wording included in the specifications 31 of the developed software information 30 and the software materials that are easily used when these characteristics are present can be applied to the software to be developed in the past. It is possible to search for more appropriate software material candidates from the usage history of software materials.

Further, the search unit 14 creates a software material word list 55 containing the material ID of the software material included in the material list data 52 as a word for the software information 50 to be developed. The search unit 14 applies the software material word list 55 to the conditions of the combination tendency table 320, and extracts the material ID and certainty of the software material shown in the conclusion corresponding to the satisfied condition (determination: ○ in FIG. 7). Then, a candidate material list [B] 56 (FIG. 8 (b)) including the extracted material ID and certainty as the validity [B] is created. By using the combination tendency table 320, the relationship between the characteristics of the material ID included in the material list data 32 of the developed software information 30 and the software materials that are easily used at the same time when these characteristics are present is applied to the software to be developed. It is possible to search for more appropriate software material candidates from the past software material usage history.

The candidate material list [A] 54 and the candidate material list [B] 56 indicate the validity [A] and the validity [B] indicating how effective the software material indicated by the material ID is as a candidate that can be used in the software to be developed. ] Is included. In this embodiment, the certainty obtained from the specification tendency table 310 and the combination tendency table 320 is used as the effectiveness. The effectiveness is not limited to this, and if an index showing the effectiveness as a available candidate is required, it is calculated by another method, for example, using two values other than the conviction. You may. Further, regarding the validity, the candidate material list [A] 54 and the candidate material list can be used as candidates for software materials that can use only the material ID of the software material whose effectiveness is equal to or higher than the validity standard value by setting the validity reference value. It may be configured to be included in [B] 56.

The search unit 14 combines the candidate material list [A] 54 and the candidate material list [B] 56 to create the candidate material table 500 shown in FIG. The candidate material table 500 includes an average value (effectiveness average) calculated for the effectiveness [A] and the effectiveness [B] of the software materials acquired from the candidate material list [A] 54 and the candidate material list [B] 56. .. In the present embodiment, the average value of the effectiveness is calculated, but the present invention is not limited to this, and if an index showing the effectiveness as a usable candidate is required, it is effective by another method. A value that replaces the degree average may be calculated. Further, for the validity average, an effectiveness average reference value may be set, and only software materials whose effectiveness average is equal to or higher than the effectiveness average reference value may be included in the candidate material table 500 as candidates for usable software materials. ..

The material information database 15 stores information related to software materials. Specifically, as shown in FIG. 10, the material information database 15 stores a material information table 600 including information related to software materials. In the material information table 600, each software material is managed by a material ID, and information on the material name, software quality, cost, and availability time is associated with each material ID. The software quality, cost, and availability time may be configured to include only one or two selected from these.

The software quality is information indicating the quality of the software material, the "12-month defect count" is the number of bugs that have appeared in the software material in the last 12 months, and the "source complexity average" is the software material. The average complexity of the source code.

The cost is information representing the specific cost (amount) required for the introduction and maintenance of the software material, the "initial cost" is the cost required to obtain the software material, and the "maintenance cost" is. , It is the cost to maintain the software material for 12 months.

The availability time is information on the time required to use the software material (that is, the index of usability), and the "document maintenance status" is prepared by a document (document) describing the specifications of the software material. Indicates whether it is available, and if so, in which language it is available. "Multilingual" in the document maintenance status has documents expressed in multiple languages, "English only" has only documents expressed in English, and "None" is software material. Means that no documentation is available.

In addition to the above information included in the material information table 600, the material information database 15 stores, for example, information explaining the types, functions, uses, and the like of each software material. In the present embodiment, the material information database 15 is realized by the storage unit 10b, but may be virtually provided on the network cloud. The material information database 15 corresponds to a material information data storage unit.

The material presentation unit 16 calculates a rating value for the software material included in the candidate material table 500 based on the information acquired from the material information table 600, and adds the calculated rating value to the candidate material table 500. Create a recommended material table 700. Then, the material presentation unit 16 calculates the recommendation level for the software to be developed based on the above effectiveness and the rating value, further includes it in the recommended material table 700, and includes the software material included in the recommended material table 700 as the recommendation level. Present as a candidate for software material according to. FIG. 11 shows an example of the recommended material table 700.

Specifically, the material presentation unit 16 calculates a rating value for each software material shown in the material ID of the candidate material table 500 from each numerical value of the software quality, cost, and availability time of the material information table 600. Based on the above effectiveness and rating value, the recommendation level for use in the software to be developed is calculated.

The rating performed by the material presentation unit 16 has the meaning of weighting the effectiveness of the software material calculated by the search unit 14 described above in terms of, for example, quality, cost, and ease of use. By doing so, the evaluation of the software material itself can be reflected in the presentation of the software material candidates. In particular, by using the above three items, the quality of the software material, the cost required for obtaining and maintaining the software material, and the use of the software material (the material can be used as a single tool or externally). It can reflect the evaluation of the time it takes to incorporate it into the company's products for sale.

The material presentation unit 16 assigns a rating value (point) of the software material as follows.

Regarding the "12-month defect count" of software quality, a rating value is given with 0 to 3 or 51 or more as 1 point, 20 to 50 as 2 points, and 4 to 19 as 3 points, and about "source complexity average". Gives a rating value with 21 or more as 1 point, 10 to 20 as 2 points, and 9 or less as 3 points.

Regarding the "initial cost" of the cost, a rating value is given with 1 point for 10 million yen or more, 2 points for less than 10 million yen to 1 million yen or more, 3 points for less than 1 million yen, and for "maintenance cost" , 10 million yen or more is given as 1 point, less than 10 million yen to 1 million yen or more is given as 2 points, and less than 1 million yen is given as 3 points.

Regarding the "document maintenance status" of the availability time, a rating value is given with 1 point for none, 2 points for English only, and 3 points for multilingual.

After assigning a rating value, the material presentation unit 16 calculates a rating average for each software material. Then, the material presentation unit 16 calculates the recommendation level by multiplying the effectiveness average and the rating average, and includes it in the recommended material table 700. Then, the material presentation unit 16 outputs information (display information) for displaying the software material indicated by the material ID included in the recommended material table 700 in the order corresponding to the degree of recommendation to the output device 6.

The material presentation unit 16 outputs (that is, presents) information for displaying candidates for software materials according to the degree of recommendation, but the material presentation unit 16 is not limited to this. For example, the material presentation unit 16 may output information for displaying in the order according to the validity of the software material calculated by the search unit 14 without calculating the rating value and the recommendation level. Alternatively, for further simplification, the search unit 14 may not calculate the validity, and the search unit 14 may output information for displaying the searched software material as a candidate for available software material. .. By doing so, it is possible to present candidates for software materials that can be used with a simpler configuration.

Next, an example of the operation (software material selection support operation) according to the present invention in the support device 10 described above will be described with reference to the flowchart of FIG.

When the support device 10 starts operation, the usage tendency analysis unit 12 creates a specification tendency table 310 and a combination tendency table 320 based on the developed software information 30 stored in the material usage history database 11 (step S10). ). The usage tendency analysis unit 12 recreates the specification tendency table 310 and the combination tendency table 320 every time the developed software information 30 is added to the material usage history database 11 or the developed software information 30 is updated. .. The usage tendency analysis unit 12 stores the created specification tendency table 310 and combination tendency table 320 in the usage tendency database 13.

Next, when the search unit 14 receives the software presentation request from the input device 5 (step S20), the search unit 14 sets the specification tendency table 310 and the combination based on the development target software information 50 included in the received software presentation request. The tendency table 320 is used to create a candidate material table 500 including the effectiveness of the software material (material ID) that is a candidate for use (step S30).

Then, the material presentation unit 16 obtains the rating value of the software material based on the information acquired from the material information table 600 of the material information database 15, and adds the rating value to the candidate material table 500 to obtain the effectiveness and the rating value. A recommended material table 700 including the recommended degree obtained from the above is created (step S40).

Finally, the material presentation unit 16 outputs to the output device 6 information (display information) for displaying the software materials recommended to be used included in the recommended material table 700 in the order corresponding to the respective recommendation levels (display information). Step S50).

Next, the software material selection support process described above will be described from the viewpoint of display operation with reference to FIG. FIG. 13 is a diagram showing an example of a screen image when performing software material presentation processing.

The screen 800 shown in FIG. 13 is displayed on the output device 6. This screen 800 has a file name input area 801 for inputting the file name of the specification 51 of the development target software information 50, a software material name input area 802 for inputting software materials to be used in the development target software, and software material selection support. A search button 803 for inputting an operation for starting processing and a display area 804 for displaying software materials presumed to be available are provided.

The developer first inputs a file name in the file name input area 801. Further, the developer may enter the name of the software material to be used in the software to be developed in the software material name input area 802 regardless of whether or not it is described in the specifications. The material list data 52 is created from the name of the software material input in the software material name input area 802. Then, the developer presses the search button 803. As a result, the input device 5 transmits a software presentation request including the software information 50 to be developed to the support device 10, and the support device 10 executes the above-mentioned software material selection support process and displays the above display information as a processing result. Is output to the output device 6.

Based on the above display information, the output device 6 displays information about the software material side by side in the display area 804 in the order according to the degree of recommendation (for example, the order of the highest degree of recommendation). In addition to this, it may be displayed in the order sorted by each numerical value in the recommended material table 700. In addition to the display contents shown in FIG. 13, for example, rating information of software materials obtained by the material presentation unit 16 and information related to software materials stored in the material information database 15 are included. You may.

Further, the developer continuously executes the software material selection support process by repeatedly inputting the name of the software material displayed in the display area 804 into the software material name input area 802 and pressing the search button 803. You may. Then, when the software material that the developer wants to use is no longer displayed in the display area 804, the input specification of the software to be developed and the information of the software material to be used input in the software material name input area 802 have already been developed. The software information 30 may be stored in the material usage history database 11. As a result, the user can adopt the software material and save the information of the software material to be used at once from the request for presenting the available software based on the specification of the software to be developed.

From the above, according to the support device 10 of the present embodiment, there is a tendency of specifications indicating the relationship between a word and software materials that tend to be used in the developed software described by the developed software information 30 in which the word appears. Candidates of software materials that can be used in the software to be developed are presented using the table 310 and the combination tendency table 320. From this, it is considered that the developed software information 30 includes a description about the functional aspect, and the relationship between the wording appearing in the developed software information 30 and the software material is described for the software to be developed. Is also applied in the same manner, and candidates for available software materials can be effectively presented based on the software information 50 to be developed.

Further, the specification tendency table 310 and the combination tendency table 320 include a certainty indicating the degree of relevance between the word and the software material, and the search unit 14 is effective in the software to be developed based on the certainty of the searched software material. Calculate the degree. The material presentation unit 16 calculates the rating value of the software material searched by the search unit 14 based on the material information table 600. Then, the material presentation unit 16 calculates the recommendation level for the software to be developed based on the effectiveness and the rating value, and presents it as a candidate for the software material according to the recommendation level. By doing so, it is possible to more appropriately present candidates for available software materials.

In the above-described embodiment, the usage tendency analysis unit 12 and the search unit 14 are configured to extract a word as a word from the software specifications, but this word may be, for example, a noun related to software. That is, the dictionary information about the nouns related to the software may be stored in the storage unit 10b or the like, and the words may be extracted by comparing with the dictionary information. Software-related nomenclature is, for example, software name or similar (text editor, compiler, etc.), software function (search, verification, encode, decode, etc.), data format input / output by software (PDF, Base64, etc.). , Program language (Java (registered trademark), etc.), development environment (framework, Eclipse, etc.), etc. Software nouns may include names of software materials and identification information. Further, the usage tendency analysis unit 12 and the search unit 14 may be configured to extract a phrase as a word from the software specifications.

Further, in the above-described embodiment, the usage tendency analysis unit 12 is configured to use the association analysis, but the present invention is not limited to this. For example, the usage tendency analysis unit 12 vectorizes the developed software information 30, and the search unit 14 vectorizes the development target software information 50, and has a vector similar to the vector of the development target software information 50. The software material included in the developed software information 30 may be presented as a candidate for software material that can be used in the software to be developed, and the analysis method is arbitrary as long as it does not contradict the object of the present invention.

Although the embodiment of the present invention has been described in detail with reference to the drawings, the specific configuration is not limited to this embodiment, and various modifications are included. For example, the above-described embodiment has been described in detail in order to explain the present invention in an easy-to-understand manner, and is not necessarily limited to the one including all the described configurations. Even if there are design changes and the like without departing from the gist of the present invention, they are included in the present invention.

1 ... System, 5 ... Input device, 6 ... Output device, 10 ... Support device, 10a ... Control unit, 10b ... Storage unit, 11 ... Material usage history database, 12 ... Usage tendency analysis unit, 13 ... Usage tendency database (use) Trend data storage unit), 14 ... Search unit, 15 ... Material information database (material information data storage unit), 16 ... Material presentation unit, 30 ... Developed software information (document explaining developed software), 31 ... Specifications , 32 ... Material list data, 33 ... Specification word list, 34 ... Specification trend table creation list, 35 ... Correlation rule table, 36 ... Trend table creation list, 50 ... Development target software information (Explanation of development target software) Documents to be written), 51 ... Specifications, 52 ... Material list data, 53 ... Specifications Word list, 55 ... Software material word list, 310 ... Specifications trend table (usage tendency related information), 320 ... Combination tendency table (usage tendency) Related information), 500 ... Candidate material table, 600 ... Material information table (information about software material), 700 ... Recommended material table, 800 ... Screen, 801 ... File name input area, 802 ... Software material name input area, 803 ... Search Button, 804 ... Display area

Claims (8)

A usage tendency data storage unit that stores usage tendency relationship information indicating the relationship between the wording and the software material that tends to be used in the developed software explained by the document in which the wording appears.
A search unit that extracts words that appear in a document explaining the software to be developed and searches for the software materials related to the extracted words from the usage tendency-related information.
Have a, a material presenting section for presenting as a candidate of the software material available in the found the software material the development target software by the searching unit,
The usage tendency-related information includes information indicating the degree of relevance between the wording and the software material.
The search unit calculates the effectiveness of the searched software material in the software to be developed based on the information indicating the degree of relevance.
The material presenting unit calculates a recommendation level for the software to be developed based on the effectiveness of the software material searched by the search unit, and presents it as a candidate for the software material according to the recommendation level. A software material selection support device that features. It also has a material information data storage unit that stores information about the software material.
The material presenting unit calculates a rating value for the software material searched by the search unit based on information about the software material, and determines the degree of recommendation for the software to be developed based on the effectiveness and the rating value. The software material selection support device according to claim 1 , wherein the software material is calculated and presented as a candidate for the software material according to the recommendation level. The wording appearing in the document explaining the developed software is extracted, the usage tendency relation information is created based on the extracted wording, and the created usage tendency relation information is stored in the usage tendency data storage unit. The software material selection support device according to any one of claims 1 to 2 , further comprising a usage tendency analysis unit. The software material selection support device according to any one of claims 1 to 3 , wherein the usage tendency-related information is created by association analysis. The usage tendency relation information is characterized by including a correlation rule in which the wording other than the software material name is set as a condition and the software material name is set as a conclusion drawn when the condition is satisfied. The software material selection support device according to claim 4 . The fourth aspect of the present invention is characterized in that the usage tendency-related information includes a correlation rule in which a software material name is set as a condition and a conclusion is set when the software material name satisfies the condition. Described software material selection support device. The information about the software material comprises one or more pieces of information selected from the software quality, cost and availability time of the software material.
The material presenting unit calculates the rating value of the software material searched by the search unit based on one or more information selected from the software quality, the cost, and the availability time. The software material selection support device according to claim 2 , wherein the software material is selected. In a device including a control unit having a computer and a storage unit that stores usage tendency relationship information indicating a relationship between a wording and software materials that tend to be used in software described by a document in which the wording appears. The program used
The computer
A search unit that extracts words appearing in a document explaining the software to be developed and searches for the software materials related to the extracted words from the usage tendency-related information, and
Material presenting unit for presenting the software material searched by the searching unit as a candidate of the software material available in the development target software, and then allowed to function,
The usage tendency-related information includes information indicating the degree of relevance between the wording and the software material.
The search unit calculates the effectiveness of the searched software material in the software to be developed based on the information indicating the degree of relevance.
The material presenting unit calculates a recommendation level for the software to be developed based on the effectiveness of the software material searched by the search unit, and presents it as a candidate for the software material according to the recommendation level. A software material selection support program featuring.

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