| Project/Area Number |
25730045
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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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 |
AKINORI Ihara 奈良先端科学技術大学院大学, 情報科学研究科, 助教 (40638392)
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| Project Period (FY) |
2013-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2013: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | ソフトウェア開発 / リポジトリマイニング / 欠陥箇所特定技術 / バグローカリゼーション / ソフトウェア検証 / バグ再修正 |
|---|
| Outline of Final Research Achievements |
The goal of this study proposed a method to identify buggy modules that cause problems in software. In general, software developers often localize buggy modules based on issue reports posted by users, and they fix the modules. However, if developers do not have extensive knowledge and experience of the software, they might take time to localize buggy files, and are likely to miss buggy files that should be changed to fix the problems. In order to understand the reports and localize correct buggy files, this study built a model to identify buggy modules with machine-learning approach.
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