| Budget Amount *help |
¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2012: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Outline of Final Research Achievements |
In this research, we proposed a system to predict fault-prone modules in software source code. To do so, we focused on the vocabulary of the identifiers in source code. First, we developed a system to find topics in the faulty source code. Second, we developed a system to restore abbreviated identifiers to the original identifiers using a deep learning technique. By these models, we found the ways to utilise identifiers in software for fault-prone module prediction.
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