TEASMA: A Practical Approach for the Test Assessment of Deep Neural Networks using Mutation Analysis. - Amin Abbasishahkoo; Mahboubeh Dadkhah; Lionel C. Briand; Dayi Lin (CoRR, 2023)

TEASMA: A Practical Methodology for Test Adequacy Assessment of Deep Neural Networks. - Amin Abbasishahkoo; Mahboubeh Dadkhah; Lionel C. Briand; Dayi Lin (IEEE Trans. Software Eng., 2024)

MetaSel: A Test Selection Approach for Fine-tuned DNN Models. - Amin Abbasishahkoo; Mahboubeh Dadkhah; Lionel C. Briand; Dayi Lin (CoRR, 2025)