| 2026 | SEAMS | Dynamic Agent Generation for Self-Adaptive Root Cause Analysis. | Brell Peclard Sanwouo Chekam, Paul Temple, Clment Quinton |
| 2026 | SEAMS | Artifact of Dynamic Agent Generation for Self-Adaptive Root Cause Analysis. | Brell Sanwouo, Paul Temple, Clment Quinton |
| 2025 | ICWS | Generative AI-Based Adaptation in Microservices Architectures: A Systematic Mapping Study. | Brell Sanwouo, Paul Temple, Clment Quinton |
| 2025 | UCC | Event-Driven Adaptation in the Computing Continuum using software variability. | Martin Molli, Daniel Balouek, Paul Temple, Thomas Ledoux |
| 2024 | AST | FairPipes: Data Mutation Pipelines for Machine Learning Fairness. | Camille Molinier, Paul Temple, Gilles Perrouin |
| 2024 | ESANN | CNNGen: A Generator and a Dataset for Energy-Aware Neural Architecture Search. | Antoine Gratia, Hong Liu, Shin'ichi Satoh, Paul Temple, Pierre-Yves Schobbens, Gilles Perrouin |
| 2021 | UAI | Global explanations with decision rules: a co-learning approach. | Graldin Nanfack, Paul Temple, Benot Frnay |
| 2020 | SPLC | Machine learning and configurable systems: a gentle introduction. | Juliana Alves Pereira, Hugo Martin, Paul Temple, Mathieu Acher |
| 2019 | SPLC | Machine learning and configurable systems: a gentle introduction. | Hugo Martin, Juliana Alves Pereira, Mathieu Acher, Paul Temple |
| 2019 | SPLC | Towards quality assurance of software product lines with adversarial configurations. | Paul Temple, Mathieu Acher, Gilles Perrouin, Battista Biggio, Jean-Marc Jzquel, Fabio Roli |
| 2018 | ICSE | Multimorphic testing. | Paul Temple, Mathieu Acher, Jean-Marc Jzquel |
| 2018 | ICSR | Towards Estimating and Predicting User Perception on Software Product Variants. | Jabier Martinez, Jean-Sbastien Sottet, Alfonso Garca Frey, Tegawend F. Bissyand, Tewfik Ziadi, Jacques Klein, Paul Temple, Mathieu Acher, Yves Le Traon |
| 2016 | SPLC | Using machine learning to infer constraints for product lines. | Paul Temple, Jos Angel Galindo, Mathieu Acher, Jean-Marc Jzquel |