| Project/Area Number |
17300007
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Software
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| Research Institution | Nara Institute of Science and Technology |
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Principal Investigator |
MATSUMOTO Kenichi Nara Institute of Science and Technology, Graduate School of Infonnation Science, Professor (70219492)
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| Co-Investigator(Kenkyū-buntansha) |
MONDEN Akito Nara Institute of Science and Technology, Graduate School of Infonnation Science, Associate Professor (80311786)
NAKAMURA Masahide Kobe University, Graduate School of Engineering, Associate Professor (30324859)
OHIRA Masao Nara Institute of Science and Technology, Graduate School of Infomtation Science, Assistant Professor (70379600)
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| Project Period (FY) |
2005 – 2007
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| Project Status |
Completed (Fiscal Year 2007)
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| Budget Amount *help |
¥15,750,000 (Direct Cost: ¥14,700,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2007: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2006: ¥7,500,000 (Direct Cost: ¥7,500,000)
Fiscal Year 2005: ¥3,700,000 (Direct Cost: ¥3,700,000)
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| Keywords | birthmark / collaborative filtering / visualization of associations / software reuse / software development support / software metrics / open source software / ソフトウェアメトリクス |
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| Research Abstract |
In modern software development, many of software products are built by combining existing software components and coding only minimal required features. However, selecting necessary components from a number of components is not easy. For instance, Java 2 SDK Standard Edition (J2SE) Version 1.41_02 is widely used by software developers and provides them with 5568 software components (basis classes). From our pilot experiments, we have found that only 4% of the software components of Java 2 SDK were used in typical software development. This result indicates additional coding is still much required, while a variety of software components are currently available to reuse.
The goal of our study is to realize an efficient environment for components-based software development. Toward achieving the goal, in this research project, we constructed a system that recommends required software components to developers according to the context of software development. Especially we focused on developing the following elemental technologies:
(A). Birthmark: a technology to analyze the development context which means the progress and/or completeness of development, features and/or structures of software itself, and so forth, by extracting the amount of characteristics from target software under development,
(B). Collaborative Filtering: a technology to identity and recommend software components which have context similar to target software, and
(C). Association Visualization: a visualization technology to provide developers with reasons why the system recommends software components to developers.
We integrated the three technologies into a system and evaluated it.
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