Semantic-Based Test Case Generation. - Mahboubeh Dadkhah (ICST, 2016)

A systematic literature review on semantic web enabled software testing. - Mahboubeh Dadkhah; Saeed Araban; Samad Paydar (J. Syst. Softw., 2020)

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)

DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks. - Zohreh Aghababaeyan; Manel Abdellatif; Mahboubeh Dadkhah; Lionel C. Briand (ACM Trans. Softw. Eng. Methodol., 2024)

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)