Publications

• Morovati, Mohammad Mehdi, Amin Nikanjam, and Foutse Khomh. “Fault Localization in Deep Learning-based Software: A System-level Approach” arXiv preprint arXiv:2411.08172 (2024). Link
• Morovati, Mohammad Mehdi, Florian Tambon, Mina Taraghi, Amin Nikanjam, and Foutse Khomh. “Common challenges of deep reinforcement learning applications development: an empirical study” Empirical Software Engineering 29, no. 4 (2024): 95. Link
• Morovati, Mohammad Mehdi, Amin Nikanjam, Florian Tambon, Foutse Khomh, and Zhen Ming Jiang. “Bug characterization in machine learning-based systems” Empirical Software Engineering 29, no. 1 (2024): 14. Link
• Morovati, Mohammad Mehdi, Amin Nikanjam, Foutse Khomh, and Zhen Ming Jiang. “Bugs in machine learning-based systems: a faultload benchmark” Empirical Software Engineering 28, no. 3 (2023): 62. Link
• Openja, Moses, Mohammad Mehdi Morovati, Le An, Foutse Khomh, and Mouna Abidi. “Technical debts and faults in open-source quantum software systems: An empirical study” Journal of Systems and Software 193 (2022): 111458. Link
• Nikanjam, Amin, Mohammad Mehdi Morovati, Foutse Khomh, and Houssem Ben Braiek. “Faults in deep reinforcement learning programs: a taxonomy and a detection approach” Automated software engineering 29, no. 1 (2022): 8. Link
• Nikanjam, Amin, Houssem Ben Braiek, Mohammad Mehdi Morovati, and Foutse Khomh. “Automatic fault detection for deep learning programs using graph transformations” ACM Transactions on Software Engineering and Methodology (TOSEM) 31, no. 1 (2021): 1-27. Link