Comparison of Multi-Label Classification Algorithms for Code Smell Detection
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IEEE
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http://xplorestaging.ieee.org/ielx7/8928468/8932719/08932855.pdf?arnumber=8932855
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Machine Learning-Based Methods for Code Smell Detection: A Survey;Applied Sciences;2024-07-15
2. Multi-label learning for identifying co-occurring class code smells;Computing;2024-05-27
3. An Evaluation of Multi-Label Classification Approaches for Method-Level Code Smells Detection;IEEE Access;2024
4. Bug Classification Depend Upon Refactoring Area of Code;Journal of The Institution of Engineers (India): Series B;2023-01-05
5. A Method Comparison on Multi-Label Questions Classification for Assessment-Based Personalised Scaffolding Adaptive Learning Path;2022 3rd International Conference on Electrical Engineering and Informatics (ICon EEI);2022-10-19
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