Selective mutation testing for concurrent code

Author:

Gligoric Milos1,Zhang Lingming2,Pereira Cristiano3,Pokam Gilles3

Affiliation:

1. University of Illinois at Urbana-Champaign, USA

2. University of Texas at Austin, USA

3. Intel, USA

Publisher

ACM

Cited by 36 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. A Fine-Grained Evaluation of Mutation Operators for Deep Learning Systems: A Selective Mutation Approach;Proceedings of the 14th Asia-Pacific Symposium on Internetware;2023-08-04

2. Balancing Effectiveness and Flakiness of Non-Deterministic Machine Learning Tests;2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE);2023-05

3. Generating Python Mutants From Bug Fixes Using Neural Machine Translation;IEEE Access;2023

4. Towards Robustness of Deep Program Processing Models—Detection, Estimation, and Enhancement;ACM Transactions on Software Engineering and Methodology;2022-04-09

5. Faster Mutation Analysis with Fewer Processes and Smaller Overheads;2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE);2021-11

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