Session 5 – Machine Learning and LLMs

Automated Learning of Software Configuration Spaces is not Easy
Mathis Weiß, Robert Müller, Lukas Güthing, Tobias Vente, Lukas Wegmeth, Ina Schaefer and Malte Lochau
Research Track – Regular

Configuration bugs classification using LLMs and encoders
Noelia Lopez-Duran, David Romero Organvídez, Fermín Cruz and David Benavides
Research Track – Regular

LLM-based Co-Evolution of Configurable Software Systems
Nada Zine, Clément Quinton and Romain Rouvoy
Research Track – Regular

Performance Prediction of Cyber-Physical Systems Product Lines in Dynamic Environements
Marco Wijaya, Sami Lazreg, Tagir Fabarisov, Andreas Hein and Maxime Cordy
Research Track – Short

Understanding Product Line Runtime Performance with Behaviour Models and Regression Model Trees
Birte Friesel and Olaf Spinczyk
Research Track – Short

Event Timeslots (1)

Thu. 04/09
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14:00 - 15:30
splc-2025 splc-2025