2025
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.
An Efficient Model Maintenance Approach for MLOps Journal Article
In: Empirical Software Engineering (EMSE) (accepted), 2025.
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.
2024
Studying Logging Practice in Machine Learning-based Applications Journal Article
In: Information and Software Technology (IST), vol. 170, pp. 1–17, 2024.
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.
2023
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.
2022
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.
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.
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.

