Robust Prediction of Fault-Proneness by Random Forests

Author:

Lan Guo ,Yan Ma ,Cukic B.,Singh H.

Publisher

IEEE

Cited by 17 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. Software Bug Prediction using Machine Learning on JM1 Dataset;2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS);2024-03-08

3. Software Defect Prediction by Logistic Regression with Gradient Descent Cost Computation;2024 International Conference on Emerging Smart Computing and Informatics (ESCI);2024-03-05

4. Software defect prediction using learning to rank approach;Scientific Reports;2023-11-02

5. Rolling Element Bearing Fault Diagnosis Using Hybrid Machine Learning Models;Proceedings of the 11th IFToMM International Conference on Rotordynamics;2023-08-27

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