Recommendation system for a method name and method body content using code corpus
| Project/Area Number |
25730036
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Software
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| Research Institution | University of Tsukuba |
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Principal Investigator |
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2015: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2013: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | コード補完 / 情報推薦システム / 識別子名 / メソッドボディ / オブジェクト指向プログラミング / メソッド名の推薦 / メソッドボディの推薦 / クラス名の推薦 / システムの実装 / 評価実験 / 論文発表 / 手法の改善 / モデルの構築 / プロトタイプシステムの開発 / 国際会議発表 |
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| Outline of Final Research Achievements |
We developed and evaluated an approach for supporting naming a method and a class. The approach generates candidate of method names from content of the method and the class respectively. Furthermore, we developed a novel code completion approach, which can be used when a method body is empty, leveraging a name of the method and its context. Both approaches leverage the knowledge learned from huge size of code corpus for generating candidates.
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Report
(4 results)
Research Products
(8 results)
