Big data analysis platform for software reliability assessment
| Project/Area Number |
15K01192
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | Hiroshima University |
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Principal Investigator |
Tadashi Dohi 広島大学, 工学研究科, 教授 (00243600)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | ソフトウェア信頼性 / ソフトウェアメトリクス / バグ予測 / リポジトリ / データマイニング / 信頼性評価 / ビッグデータ / 確率モデリング / リポジトリデータ / バグトラッキングシステム / NHPP / オープンソースプロジェクト / 統計推論 / リポジトリ分析 / 確率モデル / アルゴリズム開発 / 機械学習 / ソフトウェアフォールト / 実証分析 / ソフトウェア開発 / 回帰モデル / 確率過程 / ツール開発 |
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| Outline of Final Research Achievements |
In the modern software development it is common to record the meta data observed in the development process, such as design information, process information, source code, etc., in the database called repository, and to utilize them for development and maintenance activities through the development project. It is known that as the development size increases the capacity of repository should be increasing. Then the data mining technologies for the repository data are becoming important. In this project, we developed a new fundamental technology to assess software reliability by utilizing the repository data. Especially, we analyzed several open source project data and developed a methodology and tool to quantify the software reliability measures.
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Report
(4 results)
Research Products
(52 results)
