A machine learning approach for classification of equivalent mutants

Author:

Naeem Muhammad Rashid1ORCID,Lin Tao1,Naeem Hamad1ORCID,Liu Hailu1

Affiliation:

1. College of Computer ScienceSichuan University Chengdu Sichuan China

Funder

The Science and Technology Planning Program of Sichuan University and Luzhou

Publisher

Wiley

Subject

Software

Cited by 10 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. Large Language Models for Equivalent Mutant Detection: How Far Are We?;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11

2. Testing the Robustness of Machine Learning Models Through Mutations;Communications in Computer and Information Science;2024

3. FrMi: Fault-revealing Mutant Identification using killability severity;Information and Software Technology;2023-12

4. A Systematic Literature Review on Solutions of Mutation Testing Problems;2023 IEEE 8th International Conference On Software Engineering and Computer Systems (ICSECS);2023-08-25

5. Multi-Objective Optimization Model and Hierarchical Attention Networks for Mutation Testing;International Journal of Swarm Intelligence Research;2023-03-09

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