Publications

Giordano D'Aloisio, Sophie Fortz, Carol Hanna, Daniel Fortunato, Avner Bensoussan, Eñaut Mendiluze Usandizaga, Federica Sarro (2024). Exploring LLM-Driven Explanations for Quantum Algorithms. In the Vision and Emerging Results track of ESEM 2024.
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Sophie Fortz, Paul Temple, Xavier Devroey, Patrick Heymans, Gilles Perrouin (2024). VaryMinions: Leveraging RNNs to Identify Variants in Variability-intensive Systems’ Logs. In EMSE.
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Sophie Fortz, Paul Temple, Xavier Devroey, Gilles Perrouin (2024). Towards Feature-based ML-enabled Behaviour Location. In VaMoS 2024.
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Sophie Fortz (2023). Doctoral Symposium: Variability-Aware Behavioural Learning. In the Doctoral Symposium of SPLC 2023.
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Edilton Lima Dos Santos, Sophie Fortz, Pierre-Yves Schobbens, Gilles Perrouin (2022). Behavioral Maps: Identifying Architectural Smells in Self-adaptive Systems at Runtime.
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Edilton Lima Dos Santos, Sophie Fortz, Pierre-Yves Schobbens, Gilles Perrouin (2022). Identifying Architectural Smells in Self-Adaptive Systems at Runtime.
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Edilton Lima Dos Santos, Sophie Fortz, Gilles Perrouin, Pierre-Yves Schobbens (2021). A Vision to identify Architectural Smells in Self-Adaptive Systems using Behavioral Maps. In CASA 2021.
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Sophie Fortz (2021). Doctoral Symposium: LIFTS: learning featured transition systems. In the Doctoral Symposium of SPLC 2021.
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Sophie Fortz, Paul Temple, Xavier Devroey, Gilles Perrouin, Patrick Heymans (2021). VaryMinions: leveraging RNNs to identify variants in event logs. In MaLTESQuE 2021.
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Sophie Fortz, Fred Mesnard, Etienne Payet, Gilles Perrouin, Wim Vanhoof, German Vidal (2020). An SMT-based concolic testing tool for logic programs. In FLOPS 2020.
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