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cs.SE2026
TensorMutation: Learning Weight-Space Mutations of Deep Learning Models on Neural Graphs
Zaheed Ahmed, Philip Makedonski, Jens Grabowski
Mutation testing for deep learning (DL) faces a cost-realism trade-off. The pre-training approach produces realistic but computationally expensive mutants, whereas existing post-tr…
cs.SE2026
Quality-Driven Selective Mutation for Deep Learning
Zaheed Ahmed, Emmanuel Charleson Dapaah, Philip Makedonski +1
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, wh…