Predicting Software Defects with Explainable Machine Learning

Author:

Santos Geanderson1,Figueiredo Eduardo1,Veloso Adriano1,Viggiato Markos2,Ziviani Nivio1

Affiliation:

1. Federal University of Minas Gerais, Brazil

2. University of Alberta, Canada

Publisher

ACM

Cited by 14 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. Industrial adoption of machine learning techniques for early identification of invalid bug reports;Empirical Software Engineering;2024-07-31

2. Two sides of the same coin: A study on developers' perception of defects;Journal of Software: Evolution and Process;2024-06-18

3. Just-in-Time crash prediction for mobile apps;Empirical Software Engineering;2024-05

4. Cross-Platform Bug Localization Strategies: Utilizing Machine Learning for Diverse Software Environment Adaptability;Emerging Technologies and Engineering Journal;2024-04-30

5. Can explainability and deep-learning be used for localizing vulnerabilities in source code?;Proceedings of the 5th ACM/IEEE International Conference on Automation of Software Test (AST 2024);2024-04-15

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