Data Balancing Improves Self-Admitted Technical Debt Detection

2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR)(2021)

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摘要
A high imbalance exists between technical debt and non-technical debt source code comments. Such imbalance affects Self-Admitted Technical Debt (SATD) detection performance, and existing literature lacks empirical evidence on the choice of balancing technique. In this work, we evaluate the impact of multiple balancing techniques, including Data level, Classifier level, and Hybrid, for SATD detecti...
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关键词
Deep learning,Machine learning algorithms,Transfer learning,Neural networks,Focusing,Tools,Software
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