| 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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| 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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