Towards predicting feature defects in software product lines

Author:

Queiroz Rodrigo1,Berger Thorsten2,Czarnecki Krzysztof1

Affiliation:

1. University of Waterloo, Canada

2. Chalmers University of Technology, Sweden / University of Gothenburg, Sweden

Publisher

ACM

Cited by 16 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. Predicting Configuration Performance in Multiple Environments with Sequential Meta-Learning;Proceedings of the ACM on Software Engineering;2024-07-12

2. Variability Management in Self-Adaptive Systems through Deep Learning: A Dynamic Software Product Line Approach;Electronics;2024-02-27

3. Predicting Software Performance with Divide-and-Learn;Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2023-11-30

4. CoMSA: A Modeling-Driven Sampling Approach for Configuration Performance Testing;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

5. Asset Management in Machine Learning: State-of-research and State-of-practice;ACM Computing Surveys;2022-12-15

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