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Y. Yuki, Y. Higo, K. Hotta, and S. Kusumoto, "Generating Clone References with Less Human Subjectivity," In Proc. of the 24th IEEE International Conference on Program Comprehension, May 2016. | |
ID | 454 |
分類 | 国際会議 |
タグ | clone generating human less references subjectivity |
表題 (title) |
Generating Clone References with Less Human Subjectivity |
表題 (英文) |
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著者名 (author) |
Yusuke Yuki,Yoshiki Higo,Keisuke Hotta,Shinji Kusumoto |
英文著者名 (author) |
Yusuke Yuki,Yoshiki Higo,Keisuke Hotta,Shinji Kusumoto |
編者名 (editor) |
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編者名 (英文) |
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キー (key) |
Yusuke Yuki,Yoshiki Higo,Keisuke Hotta,Shinji Kusumoto |
書籍・会議録表題 (booktitle) |
Proc. of the 24th IEEE International Conference on Program Comprehension |
書籍・会議録表題(英文) |
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巻数 (volume) |
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号数 (number) |
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ページ範囲 (pages) |
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組織名 (organization) |
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出版元 (publisher) |
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出版元 (英文) |
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出版社住所 (address) |
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刊行月 (month) |
5 |
出版年 (year) |
2016 |
採択率 (acceptance) |
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URL |
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付加情報 (note) |
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注釈 (annote) |
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内容梗概 (abstract) |
In evaluating code clone detection tools, a benchmark
is created to measure their precision and recall. Benchmarks in previous research have either of the following issues: the first one is that they depend on the code clone definitions of benchmark creators; the second one is that they are not code clones occurring in actual development process. To get rid of both the two issues, we propose a methodology that creates code clone references based on code clones occurring in development process without any human judgements. More concretely, we use multiple revisions included in the source code repository of target software to identify merged methods in the past development process. We regard merged methods as real code clones. The authors’ benchmark can evaluate detection accuracy of code clone detection tools more objectivity. |
論文電子ファイル | y-yusuke_ICPC201605.pdf (application/pdf) [一般閲覧可] |
BiBTeXエントリ |
@inproceedings{id454, title = {Generating Clone References with Less Human Subjectivity}, author = {Yusuke Yuki and Yoshiki Higo and Keisuke Hotta and Shinji Kusumoto}, booktitle = {Proc. of the 24th IEEE International Conference on Program Comprehension}, month = {5}, year = {2016}, } |