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CCFinder: a multilinguistic token-based code clone detection system for large scale source code
Open accessAbstract
A code clone is a code portion in source files that is identical or similar to another. Since code clones are believed to reduce the maintainability of software, several code clone detection techniques and tools have been proposed. This paper proposes a new clone detection technique, which consists of the transformation of input source text and a token-by-token comparison. For its implementation with several useful optimization techniques, we have developed a tool, named CCFinder (Code Clone Finder), which extracts code clones in C, C++, Java, COBOL and other source files. In addition, metrics for the code clones have been developed. In order to evaluate the usefulness of CCFinder and metrics, we conducted several case studies where we applied the new tool to the source code of JDK, FreeBSD, NetBSD, Linux, and many other systems. As a result, CCFinder has effectively found clones and the metrics have been able to effectively identify the characteristics of the systems. In addition, we have compared the proposed technique with other clone detection techniques.
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Research works printed but not linked: 21
- Baker, A Program for Identifying Duplicated Code, 24, 49
- 10.1109/WCRE.1995.514697 · DOI · Paper page
- 10.1109/METRIC.1999.809750 · doi:10.1109/metric.1999.809750
- 10.1109/WCRE.1999.806971 · DOI
- 10.1109/ICSM.1998.738528 · DOI · Paper page
- 10.1109/ICSM.1999.792593 · DOI · Paper page
- 2002, FreeBSD
- 2002, Gnu Project
- 10.1017/CBO9780511574931 · DOI · Paper page
- Johnson, Identifying Redundancy in Source Code Using Fingerprints, 171
- 10.1109/ICSM.1994.336783 · DOI
- 10.1016/S0164-1212(98)10008-0 · doi:10.1016/s0164-1212(98)10008-0
- 10.1007/bf00126960 · DOI
- 10.1109/ICSM.1997.624264 · DOI · Paper page
- 2002, Linux Online
- 10.1109/ICSM.1996.565012 · DOI · Paper page
- 10.1109/METRIC.2002.1011328 · DOI
- 2002, NetBSD Project
- 2002, OpenOffice.org Source Project
- Takabayashi, The Detection of Fault-Prone Program Using a NeuralNetwork, 81
- 2002, The Source for Java Technology
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LaToza, T. D., Venolia, G., & DeLine, R. (2006) · Proceedings of the 28th international conference on Software engineering · doi:10.1145/1134285.1134355 · Cited by 628
Roy, C. K., & Cordy, J. R. (2008) · 2008 16th IEEE International Conference on Program Comprehension · doi:10.1109/icpc.2008.41 · Cited by 533
Managing technical debt in software-reliant systems
Brown, N., Cai, Y., Guo, Y., Kazman, R., Kim, M., Kruchten, P., Lim, E., MacCormack, A., Nord, R., Ozkaya, I., et al. (2010) · Proceedings of the FSE/SDP workshop on Future of software engineering research · doi:10.1145/1882362.1882373 · Cited by 432
GPLAG: detection of software plagiarism by program dependence graph analysis
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Metadata
- Authors
- Kamiya, T., Kusumoto, S., & Inoue, K.
- Venue
- IEEE Transactions on Software Engineering
- Published
- 2002-07
- Volume
- 28
- Issue
- 7
- Pages
- 654-670
- ISSN
- 0098-5589 (ISSN-L)
- 1939-3520
- 2326-3881
- OpenAlex
- W2138756793
- Cited by
- 1,711
- References
- 0
- FWCI
- 85.77
- Type
- journal article
- Language
- en
- Open access
- green
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- Kamiya, T., Kusumoto, S., & Inoue, K. (2002). CCFinder: a multilinguistic token-based code clone detection system for large scale source code. IEEE Transactions on Software Engineering. https://doi.org/10.1109/tse.2002.1019480
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