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Enhancing Mutation Testing Efficiency: A Comparative Study of Machine Learning Models for Equivalent Mutant Identification.

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Title: Enhancing Mutation Testing Efficiency: A Comparative Study of Machine Learning Models for Equivalent Mutant Identification.
Authors: Pugh, Terrence1, Mina Lopez, Carlos1, Peacock, Samuel1, Deng, Lin1, ldeng@towson.edu, Dehlinger, Josh1, Chakraborty, Suranjan1
Source: Software Testing: Verification & Reliability; May2025, Vol. 35 Issue 3, p1-28, 28p
Database: Applied Science & Technology Source
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        Value: 10.1002/stvr.70004
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        Text: English
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      – TitleFull: Enhancing Mutation Testing Efficiency: A Comparative Study of Machine Learning Models for Equivalent Mutant Identification.
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              Text: May2025
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              Y: 2025
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