Paper accepted at EASE 2026

We are happy to share that our paper Quality-Driven Selective Mutation for Deep Learning by Zaheed Ahmed, Emmanuel Charleson Dapaah, Philip Makedonski and Jens Grabowski has been accepted at the 30th International Conference on Evaluation and Assessment in Software Engineering (EASE 2026). The conference will take place from 9 to 12 June 2026 in Glasgow, United Kingdom. This study presents a probabilistic framework for quantifying mutant quality along two complementary dimensions: resistance and realism. The framework enables the ranking and filtering of low-quality mutation-operator configurations, substantially reducing mutation cost while preserving the practical value of mutants for testing and debugging.