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Sophie Fortz
Sophie Fortz
Post-doc Researcher at King's College London
Verified email at unamur.be - Homepage
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Cited by
Cited by
Year
VaryMinions: leveraging RNNs to identify variants in event logs
S Fortz, P Temple, X Devroey, P Heymans, G Perrouin
Proceedings of the 5th International Workshop on Machine Learning Techniques …, 2021
82021
Lifts: Learning featured transition systems
S Fortz
Proceedings of the 25th ACM International Systems and Software Product Line …, 2021
62021
VaryMinions
S Fortz, P Temple, X Devroey, P Heymans, G Perrouin
DOI: https://doi. org/10.5281/zenodo 7492126, 2022
52022
An SMT-Based Concolic Testing Tool for Logic Programs
S Fortz, F Mesnard, P Etienne, G Perrouin, W Vanhoof, G Vidal
Functional and Logic Programming: 15th International Symposium, FLOPS 2020 …, 2020
52020
A vision to identify architectural smells in self-adaptive systems using behavioral maps
EL dos Santos, S Fortz, G Perrouin, PY Schobbens
15th European Conference on Software Architecture (ECSA 2021), 1, 2021
42021
Variability-aware Behavioural Learning
S Fortz
Proceedings of the 27th ACM International Systems and Software Product Line …, 2023
22023
Behavioral maps: Identifying architectural smells in self-adaptive systems at runtime
E Lima dos Santos, S Fortz, PY Schobbens, G Perrouin
European Conference on Software Architecture, 159-180, 2021
22021
Exploring LLM-Driven Explanations for Quantum Algorithms
G d'Aloisio, S Fortz, C Hanna, D Fortunato, A Bensoussan, ...
Proceedings of the 18th ACM/IEEE International Symposium on Empirical …, 2024
12024
Accelerating Quantum Eigensolver Algorithms With Machine Learning
A Bensoussan, E Chachkarova, K Even-Mendoza, S Fortz, C Lenihan
arXiv preprint arXiv:2409.13587, 2024
12024
VaryMinions: leveraging RNNs to identify variants in variability-intensive systems’ logs
S Fortz, P Temple, X Devroey, P Heymans, G Perrouin
Empirical Software Engineering 29 (4), 99, 2024
12024
Towards Feature-based ML-enabled Behaviour Location
S Fortz, P Temple, X Devroey, G Perrouin
Proceedings of the 18th International Working Conference on Variability …, 2024
2024
PhD Thesis: Learning Featured Transition Systems
S Fortz
https://researchportal.unamur.be/en/studentTheses/learning-featured …, 2023
2023
Identifying Architectural Smells in Self-Adaptive Systems at Runtime
EL dos Santos, S Fortz, PY Schobbens, G Perrouin
Conférence francophone sur les Architectures Logicielles (CAL): 13ème …, 2022
2022
Master Thesis: SAT-Based Concolic Testing in Prolog
S Fortz
University of Namur, 2019
2019
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