CCFinder: a multilinguistic token-based code clone detection system for large scale source code
IEEE Transactions on Software Engineering
CP-Miner: Finding Copy-Paste and Related Bugs in Large-Scale Software Code
IEEE Transactions on Software Engineering
Comparison and Evaluation of Clone Detection Tools
IEEE Transactions on Software Engineering
Active refinement of clone anomaly reports
Proceedings of the 34th International Conference on Software Engineering
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Software reviews are time-consuming task especially for large software systems. To reduce the efforts required, Li et al. developed CP-Miner, a code clone detection tool that detects identifier naming inconsistencies between code clones as bug candidates. However, reviewers using CP-Miner still have to assess many inconsistencies, since the tool also reports many false-positive candidates. To reduce the false-positive candidates, we propose a criterion for filtering the candidates. In our experiments, filtering with the proposed criterion removed 30% of the false-positive candidates and no true-positive candidates. This result shows that the proposed criterion helps the review task by effectively reducing the number of bug candidates.