Publications

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2025

Foalem, Patrick Loic; Silva, Leuson Da; Khomh, Foutse; Li, Heng; Merlo, Ettore

Logging Requirement for Continuous Auditing of Responsible Machine Learning-based Applications Journal Article

In: Empirical Software Engineering (EMSE), vol. 30, no. 97, pp. 1–37, 2025.

Links | BibTeX | Tags: Logging, MLOps, Observability

Majidi, Forough; Khomh, Foutse; Li, Heng; Nikanjam, Amin

An Efficient Model Maintenance Approach for MLOps Journal Article

In: Empirical Software Engineering (EMSE) (accepted), 2025.

Links | BibTeX | Tags: MLOps, Model Maintenance

Qin, Qiaolin; Djian, Benjamin; Merlo, Ettore; Li, Heng; Gambs, Sébastien

Representation-based fairness evaluation and bias correction robustness assessment in neural networks Journal Article

In: Information and Software Technology (IST), vol. 188, no. 107876, pp. 1–14, 2025.

Links | BibTeX | Tags: Fairness, MLOps

2024

Foalem, Patrick Loic; Khomh, Foutse; Li, Heng

Studying Logging Practice in Machine Learning-based Applications Journal Article

In: Information and Software Technology (IST), vol. 170, pp. 1–17, 2024.

Links | BibTeX | Tags: Logging, MLOps, Observability

Ghadesi, Amin; Lamothe, Maxime; Li, Heng

What Causes Exceptions in Machine Learning Applications? Mining Machine Learning-Related Stack Traces on Stack Overflow Journal Article

In: Empirical Software Engineering (EMSE), vol. 29, no. 107, pp. 37 pages, 2024.

Links | BibTeX | Tags: MLOps, Technical Q&A

2023

Yahmed, Ahmed Haj; Abbassi, Altaf Allah; Nikanjam, Amin; Li, Heng; Khomh, Foutse

Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges Proceedings Article

In: Proceedings of the 39th IEEE International Conference on Software Maintenance and Evolution (ICSME), pp. 26–38, IEEE 2023.

Links | BibTeX | Tags: MLOps

2022

Liao, Lizhi; Li, Heng; Shang, Weiyi; Ma, Lei

An Empirical Study of the Impact of Hyperparameter Tuning and Model Optimization on the Performance Properties of Deep Neural Networks Journal Article

In: ACM Transactions on Software Engineering and Methodology (TOSEM), vol. 31, no. 3, pp. 1–40, 2022.

Links | BibTeX | Tags: MLOps, Performance

Majidi, Forough; Openja, Moses; Khomh, Foutse; Li, Heng

An Empirical Study on the Usage of Automated Machine Learning Tools Proceedings Article

In: Proceedings of the 38th IEEE International Conference on Software Maintenance and Evolution (ICSME), pp. 59–70, IEEE 2022.

Links | BibTeX | Tags: MLOps

Openja, Moses; Majidi, Forough; Khomh, Foutse; Chembakottu, Bhagya; Li, Heng

Studying the Practices of Deploying Machine Learning Projects on Docker Proceedings Article

In: Proceedings of the 26th International Conference on Evaluation and Assessment in Software Engineering (EASE), pp. 190–200, 2022.

Links | BibTeX | Tags: MLOps