Faults in deep reinforcement learning programs: a taxonomy and a detection approach. - Amin Nikanjam; Mohammad Mehdi Morovati; Foutse Khomh; Houssem Ben Braiek (Autom. Softw. Eng., 2022)

Technical debts and faults in open-source quantum software systems: An empirical study. - Moses Openja; Mohammad Mehdi Morovati; Le An; Foutse Khomh; Mouna Abidi (J. Syst. Softw., 2022)

Automatic Fault Detection for Deep Learning Programs Using Graph Transformations. - Amin Nikanjam; Houssem Ben Braiek; Mohammad Mehdi Morovati; Foutse Khomh (ACM Trans. Softw. Eng. Methodol., 2022)

Bugs in machine learning-based systems: a faultload benchmark. - Mohammad Mehdi Morovati; Amin Nikanjam; Foutse Khomh; Zhen Ming (Jack) Jiang (Empir. Softw. Eng., 2023)

Fault Localization in Deep Learning-based Software: A System-level Approach. - Mohammad Mehdi Morovati; Amin Nikanjam; Foutse Khomh (CoRR, 2024)

Bug characterization in machine learning-based systems. - Mohammad Mehdi Morovati; Amin Nikanjam; Florian Tambon; Foutse Khomh; Zhen Ming (Jack) Jiang (Empir. Softw. Eng., 2024)

Common challenges of deep reinforcement learning applications development: an empirical study. - Mohammad Mehdi Morovati; Florian Tambon; Mina Taraghi; Amin Nikanjam; Foutse Khomh (Empir. Softw. Eng., 2024)