A Practical Guide to Support Change-proneness Prediction

Author:

Melo Cristiano1,Lima da Cruz Matheus1,Martins Antônio1,Matos Tales1,Filho José1,Machado Javam1

Affiliation:

1. Department of Computing, Federal University of Ceará, Fortaleza-Ceará and Brazil, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 6 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. Bridging the Gap Between Academia and Industry in Machine Learning Software Defect Prediction: Thirteen Considerations;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

2. Industrial applications of software defect prediction using machine learning: A business-driven systematic literature review;Information and Software Technology;2023-07

3. A Practical Guide to Support Predictive Tasks in Data Science;Proceedings of the 23rd International Conference on Enterprise Information Systems;2021

4. Improving Vulnerability Prediction of JavaScript Functions using Process Metrics;Proceedings of the 16th International Conference on Software Technologies;2021

5. Time-series Approaches to Change-prone Class Prediction Problem;Proceedings of the 22nd International Conference on Enterprise Information Systems;2020

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