2016 Fiscal Year Final Research Report
A code clone detection approach based on topic extraction
| Project/Area Number |
26730036
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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 | Nagoya University |
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Principal Investigator |
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Keywords | コードクローン |
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| Outline of Final Research Achievements |
This research aims at developing a code clone detection tool based on the similarity of identifier names and evaluating its usefulness. This tool is able to detect code clones that not only includes the same identifier names but also identifiers including similar usage contexts. This tool is developed using a topic extraction technique for natural language processing in order to determine whether a pair of code fragments includes identifiers that share similar usage context.
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| Free Research Field |
ソフトウェア工学
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