| Budget Amount *help |
¥14,300,000 (Direct Cost: ¥11,000,000、Indirect Cost: ¥3,300,000)
Fiscal Year 2016: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2015: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2014: ¥5,850,000 (Direct Cost: ¥4,500,000、Indirect Cost: ¥1,350,000)
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| Outline of Final Research Achievements |
We have developed a fine-grained change analysis tool for large-scale software projects based on our tree differencing algorithm. By this tool, we can efficiently search change histories across versions for a specific change pattern. The tool includes a database system that stores entire change information and the user interface that displays discovered change instances over the original source code. We have conducted a series of experiments that include fine-grained search on large-scale projects, automated debugging by way of test reversal identification, and extraction of semantic information about the source code by way of machine learning, to demonstrate the effectiveness of the method.
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