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Challenging Machine Learning-based Clone Detectors via Semantic-preserving Code Transformations
[article]
2021
arXiv
pre-print
Software clone detection identifies similar code snippets. It has been an active research topic that attracts extensive attention over the last two decades. In recent years, machine learning (ML) based detectors, especially deep learning-based ones, have demonstrated impressive capability on clone detection. It seems that this longstanding problem has already been tamed owing to the advances in ML techniques. In this work, we would like to challenge the robustness of the recent ML-based clone
arXiv:2111.10793v1
fatcat:52l3zpxgdnbaffcxeqitlehmpq