TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Tree-Pattern-Based Clone Detection with High Precision and Recall |
| 영문제목(English Title) |
Tree-Pattern-Based Clone Detection with High Precision and Recall |
| 저자(Author) |
Hyo-Sub Lee
Myung-Ryul Choi
Kyung-Goo Doh
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| 원문수록처(Citation) |
VOL 12 NO. 05 PP. 1932 ~ 1950 (2018. 05) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
The paper proposes a code-clone detection method that gives the highest possible precision and recall, without giving much attention to efficiency and scalability. The goal is to automatically create a reliable reference corpus that can be used as a basis for evaluating the precision and recall of clone detection tools. The algorithm takes an abstract-syntax-tree representation of source code and thoroughly examines every possible pair of all duplicate tree patterns in the tree, while avoiding unnecessary and duplicated comparisons wherever possible. The largest possible duplicate patterns are then collected in the set of pattern clusters that are used to identify code clones. The method is implemented and evaluated for a standard set of open-source Java applications. The experimental result shows very high precision and recall. False-negative clones missed by our method are all non-contiguous clones. Finally, the concept of neighbor patterns, which can be used to improve recall by detecting non-contiguous clones and intertwined clones, is proposed.
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| 키워드(Keyword) |
Software maintenance
code clone
clone detection
abstract syntax tree
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| 파일첨부 |
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