1. An Empirical Study on Low- and High-Level Explanations of Deep Learning Misbehaviours;2023 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM);2023-10-26
2. Evaluating test quality of Python libraries for IoT applications at the network edge;Wireless Networks;2023-09-02
3. Towards a taxonomy of Roxygen documentation in R packages;Empirical Software Engineering;2023-07
4. Algorithm Debt: Challenges and Future Paths;2023 IEEE/ACM 2nd International Conference on AI Engineering – Software Engineering for AI (CAIN);2023-05
5. Outcome-Preserving Input Reduction for Scientific Data Analysis Workflows;Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering;2022-10-10