| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2015: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Outline of Final Research Achievements |
Developers reuse existing source code or use libraries to develop effectively. In this study, we focus on the order of method invocation statements in existing source code and propose to suggest method invocation statements. This study proposed an approach to suggest method invocation statements using recurrent neural network. I have implemented the approach and conducted experiments to measure an accuracy with 10 open source software projects. I have investigated various parameters of recurrent neural network. This evaluation has shown that our approach is 38% accuracy in API code suggestion, it can correctly suggest the API with top 1 candidate.
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