Peer-Reviewed Publications

2025

M. Acher, A. Gotlieb, H. Spieker, G. Le Bartz Lyan. Teaching Reproducibility and Embracing Variability: From Floating-Point Experiments to Replicating Research. ACM Conference on Reproducibility and Replicability (ACM REP 2025).

2024

We are proud to receive two awards at ISSTA and AST, on the core topics of RIPOST (reproducibility, testing, and AI), and two journal articles at JSS and STVR:

L. Lesoil, H. Spieker, A. Gotlieb, M. Acher, P. Temple, A. Blouin, JM. Jézéquel. Learning Input-aware Performance Models of Configurable Systems: An Empirical Evaluation. Journal of Systems and Software, 208, p.111883. Online Preprint
Q. Mazouni, H. Spieker, A. Gotlieb, M. Acher. Testing for Fault Diversity in Reinforcement Learning. AST 2024. Preprint Best paper award https://conf.researchr.org/details/ast-2024/ast-2024-papers/18/Testing-for-Fault-Diversity-in-Reinforcement-Learning
Q. Mazouni, H. Spieker, A. Gotlieb, M. Acher. Policy Testing with MDPFuzz (Replicability Study). ISSTA 2024. Online https://2024.issta.org/details/issta-2024-papers/125/Policy-Testing-with-MDPFuzz-Replicability-Study- ACM SIGSOFT Distinguished Paper Award
Q. Mazouni, A. Gotlieb, H. Spieker, M. Acher, B. Combemale. Mutation-guided Metamorphic Testing of Optimality in AI Planning. STVR.