Abstract
To attract more users on different platforms, many projects release their versions in multiple programming languages (e.g., Java and C#). They typically have many code snippets that implement similar functionalities, i.e., cross-language clones. Programmers often need to track and modify crosslanguage clones consistently to maintain similar functionalities across different language implementations. In literature, researchers have proposed approaches to detect crosslanguage clones, mostly for languages that share a common intermediate language (such as the .NET language family) so that techniques for detecting single-language clones can be applied. As a result, those approaches cannot detect cross-language clones for many projects that are not implemented in a .NET language. To overcome the limitation, in this paper, we propose a novel approach, CLCMiner, that detects cross-language clones automatically without the need of an intermediate language. Our approach mines such clones from revision histories, which reect how programmers maintain cross-language clones in practice. We have implemented a prototype tool for our approach and conducted an evaluation on five open source projects that have versions in Java and C#. The results show that CLCMiner achieves high accuracy and point to promising future work.
| Original language | English |
|---|---|
| Title of host publication | ASE 2016 - Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering |
| Editors | Sarfraz Khurshid, David Lo, Sven Apel |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 696-701 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781450338455 |
| DOIs | |
| Publication status | Published - Aug 25 2016 |
| Event | 31st IEEE/ACM International Conference on Automated Software Engineering, ASE 2016 - Singapore, Singapore Duration: Sep 3 2016 → Sep 7 2016 |
Publication series
| Name | ASE 2016 - Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering |
|---|
Other
| Other | 31st IEEE/ACM International Conference on Automated Software Engineering, ASE 2016 |
|---|---|
| Country | Singapore |
| City | Singapore |
| Period | 9/3/16 → 9/7/16 |
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All Science Journal Classification (ASJC) codes
- Software
- Computational Theory and Mathematics
- Human-Computer Interaction
Cite this
Mining revision histories to detect cross-language clones without intermediates. / Cheng, Xiao; Peng, Zhiming; Jiang, Lingxiao; Zhong, Hao; Yu, Haibo; Zhao, Jianjun.
ASE 2016 - Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering. ed. / Sarfraz Khurshid; David Lo; Sven Apel. Association for Computing Machinery, Inc, 2016. p. 696-701 (ASE 2016 - Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Mining revision histories to detect cross-language clones without intermediates
AU - Cheng, Xiao
AU - Peng, Zhiming
AU - Jiang, Lingxiao
AU - Zhong, Hao
AU - Yu, Haibo
AU - Zhao, Jianjun
PY - 2016/8/25
Y1 - 2016/8/25
N2 - To attract more users on different platforms, many projects release their versions in multiple programming languages (e.g., Java and C#). They typically have many code snippets that implement similar functionalities, i.e., cross-language clones. Programmers often need to track and modify crosslanguage clones consistently to maintain similar functionalities across different language implementations. In literature, researchers have proposed approaches to detect crosslanguage clones, mostly for languages that share a common intermediate language (such as the .NET language family) so that techniques for detecting single-language clones can be applied. As a result, those approaches cannot detect cross-language clones for many projects that are not implemented in a .NET language. To overcome the limitation, in this paper, we propose a novel approach, CLCMiner, that detects cross-language clones automatically without the need of an intermediate language. Our approach mines such clones from revision histories, which reect how programmers maintain cross-language clones in practice. We have implemented a prototype tool for our approach and conducted an evaluation on five open source projects that have versions in Java and C#. The results show that CLCMiner achieves high accuracy and point to promising future work.
AB - To attract more users on different platforms, many projects release their versions in multiple programming languages (e.g., Java and C#). They typically have many code snippets that implement similar functionalities, i.e., cross-language clones. Programmers often need to track and modify crosslanguage clones consistently to maintain similar functionalities across different language implementations. In literature, researchers have proposed approaches to detect crosslanguage clones, mostly for languages that share a common intermediate language (such as the .NET language family) so that techniques for detecting single-language clones can be applied. As a result, those approaches cannot detect cross-language clones for many projects that are not implemented in a .NET language. To overcome the limitation, in this paper, we propose a novel approach, CLCMiner, that detects cross-language clones automatically without the need of an intermediate language. Our approach mines such clones from revision histories, which reect how programmers maintain cross-language clones in practice. We have implemented a prototype tool for our approach and conducted an evaluation on five open source projects that have versions in Java and C#. The results show that CLCMiner achieves high accuracy and point to promising future work.
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UR - http://www.scopus.com/inward/citedby.url?scp=84989187430&partnerID=8YFLogxK
U2 - 10.1145/2970276.2970363
DO - 10.1145/2970276.2970363
M3 - Conference contribution
AN - SCOPUS:84989187430
T3 - ASE 2016 - Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering
SP - 696
EP - 701
BT - ASE 2016 - Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering
A2 - Khurshid, Sarfraz
A2 - Lo, David
A2 - Apel, Sven
PB - Association for Computing Machinery, Inc
ER -