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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Huang Jian-lin Li Fei-peng |
| Copyright Year | 2009 |
| Abstract | The automatic similarity measurement of source code can be applied to the detection of both plagiarism and code clone effectively. Suffix array is an effective way to construct the index of the full text, which has showed big applied potential in research areas such as genome analysis and character search currently. This paper introduces the relevant technologies of the similarity measurement of source code, especially the match algorithms for similar source code firstly, and then proposes a quick match algorithm that is applicable for quick similarity measurement of source code based on suffix array. Theory and experiments show that this new match algorithm for similar source code has the same similarity measurement result with current match algorithms, but it has obviously lower running time complexity. |
| Starting Page | 308 |
| Ending Page | 311 |
| File Size | 283312 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424454112 |
| e-ISBN | 9781424454129 |
| DOI | 10.1109/CIS.2009.175 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-11 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Software maintenance suffix array Cloning Genomics Educational institutions Plagiarism Current measurement Space technology code clone similarity plagiarism detection Software measurement Computer security Computational intelligence |
| Content Type | Text |
| Resource Type | Article |
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