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News/Quality-Driven Selective Mutation for Deep Learning
arxiv
PublishedApril 27, 2026 at 4:00 AM

Quality-Driven Selective Mutation for Deep Learning

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arXiv:2604.22640v1 Announce Type: cross Abstract: Mutants support testing and debugging in two roles: (i) as test goals and (ii) as substitutes for real faults. Hard-to-kill mutants provide better guidance for test improvement, while realism is essential when mutants are used to simulate real bugs.

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Originally published on arxiv ↗
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