From cbf7e060321a67a1fc4d3b19d9c4ef4d8b751249 Mon Sep 17 00:00:00 2001 From: FAMILIAR project Date: Mon, 16 Dec 2024 14:13:03 +0100 Subject: [PATCH] Update publications.md --- publications.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/publications.md b/publications.md index e04c36b..293bb0d 100755 --- a/publications.md +++ b/publications.md @@ -11,7 +11,7 @@ order: 3 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_.