A Cost-effective and Machine-learning-based method to identify and cluster redundant mutants in software mutation testing
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11227-024-06107-8.pdf
Reference34 articles.
1. Arasteh B (2019) ReDup: a software-based method for detecting soft-error using data analysis. Comput Electr Eng 78:89–107
2. Arasteh B, Najafi J (2018) Programming guidelines for improving software resiliency against soft-errors without performance overhead. Computing 100:971–1003. https://doi.org/10.1007/s00607-018-0592-y
3. Keshtgar A, Arasteh B (2017) Enhancing software reliability against soft-error using minimum redundancy on critical data. Int J Comput Netw Inf Secur. https://doi.org/10.5815/ijcnis.2017.05.03
4. Arasteh B, Miremadi SG, Rahmani AM (2014) Developing inherently resilient software against soft-errors based on algorithm level inherent features. J Electron Test 30:193–212. https://doi.org/10.1007/s10836-014-5438-8
5. Ghaemi A, Arasteh B (2020) SFLA-based heuristic method to generate software structural test data. J Softw Evol Proc 32:e2228. https://doi.org/10.1002/smr.2228
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