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diverse-project · Dec 16, 2024 · cbf7e06 · cbf7e06
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 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](https://www.sciencedirect.com/science/article/abs/pii/S0164121223002789) [Preprint](https://hal.science/hal-04271476)
-- Q. Mazouni, H. Spieker, A. Gotlieb, M. Acher. Testing for Fault Diversity in Reinforcement Learning. _AST 2024_. [Preprint](https://arxiv.org/abs/2403.15065)
-- Q. Mazouni, H. Spieker, A. Gotlieb, M. Acher. Policy Testing with MDPFuzz (Replicability Study). _ISSTA 2024_. [Online](https://dl.acm.org/doi/abs/10.1145/3650212.3680382)
+- Q. Mazouni, H. Spieker, A. Gotlieb, M. Acher. Testing for Fault Diversity in Reinforcement Learning. _AST 2024_. [Preprint](https://arxiv.org/abs/2403.15065) 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://dl.acm.org/doi/abs/10.1145/3650212.3680382) 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_.