Mutation testing meets approximate computing
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/7963954/7966857/07966867.pdf?arnumber=7966867
Cited by 7 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 Systematic Literature Review on Solutions of Mutation Testing Problems;2023 IEEE 8th International Conference On Software Engineering and Computer Systems (ICSECS);2023-08-25
2. Boundary sampling to boost mutation testing for deep learning models;Information and Software Technology;2021-02
3. Model of room and pillar production planning in small scale underground mines with metal price and operating cost uncertainty;Resources Policy;2020-03
4. Identification of Approximable Program Components Using Edge Profiling;Lecture Notes in Electrical Engineering;2020
5. Model-Based Mutation Operators for Timed Systems: A Taxonomy and Research Agenda;2018 IEEE International Conference on Software Quality, Reliability and Security (QRS);2018-07
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