Applying machine learning to software fault-proneness prediction

Author:

Gondra Iker

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Cited by 111 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. The untold impact of learning approaches on software fault-proneness predictions: an analysis of temporal aspects;Empirical Software Engineering;2024-06-08

2. Enhancing Software Defect Prediction Through Advanced Machine Learning: Investigating Solutions to Key Limitations of Traditional Techniques;2024 International Conference on Intelligent Systems for Cybersecurity (ISCS);2024-05-03

3. A survey on machine learning techniques applied to source code;Journal of Systems and Software;2024-03

4. Evaluating the effectiveness of decomposed Halstead Metrics in software fault prediction;PeerJ Computer Science;2023-11-27

5. Does Code Smell Frequency Have a Relationship with Fault-proneness?;Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering;2023-06-14

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