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Paul Temple
Paul Temple
Assoc Prof @ DiverSE, Rennes, FRANCE
Verified email at irisa.fr - Homepage
Title
Cited by
Cited by
Year
Using machine learning to infer constraints for product lines
P Temple, JA Galindo, M Acher, JM Jézéquel
Proceedings of the 20th International Systems and Software Product Line …, 2016
732016
Learning contextual-variability models
P Temple, M Acher, JM Jézéquel, O Barais
IEEE Software 34 (6), 64-70, 2017
292017
Ethical adversaries: Towards mitigating unfairness with adversarial machine learning
P Delobelle, P Temple, G Perrouin, B Frénay, P Heymans, B Berendt
ACM SIGKDD Explorations Newsletter 23 (1), 32-41, 2021
252021
Towards learning-aided configuration in 3D printing: Feasibility study and application to defect prediction
B Amand, M Cordy, P Heymans, M Acher, P Temple, JM Jézéquel
Proceedings of the 13th International Workshop on Variability Modelling of …, 2019
242019
Varylatex: Learning paper variants that meet constraints
M Acher, P Temple, JM Jézéquel, JA Galindo, J Martinez, T Ziadi
Proceedings of the 12th International Workshop on Variability Modelling of …, 2018
242018
Learning-based performance specialization of configurable systems
P Temple, M Acher, JM Jézéquel, L Noel-Baron, JA Galindo
IRISA, Inria Rennes; University of Rennes 1, 2017
142017
Towards quality assurance of software product lines with adversarial configurations
P Temple, M Acher, G Perrouin, B Biggio, JM Jézéquel, F Roli
Proceedings of the 23rd International Systems and Software Product Line …, 2019
112019
Empirical assessment of generating adversarial configurations for software product lines
P Temple, G Perrouin, M Acher, B Biggio, JM Jézéquel, F Roli
Empirical Software Engineering 26, 1-49, 2021
72021
Towards estimating and predicting user perception on software product variants
J Martinez, JS Sottet, AG Frey, TF Bissyandé, T Ziadi, J Klein, P Temple, ...
New Opportunities for Software Reuse: 17th International Conference, ICSR …, 2018
62018
Global explanations with decision rules: a co-learning approach
G Nanfack, P Temple, B Frénay
Uncertainty in Artificial Intelligence, 589-599, 2021
52021
Empirical assessment of multimorphic testing
P Temple, M Acher, JM Jézéquel
IEEE Transactions on Software Engineering 47 (7), 1511-1527, 2019
52019
Towards adversarial configurations for software product lines
P Temple, M Acher, B Biggio, JM Jézéquel, F Roli
arXiv preprint arXiv:1805.12021, 2018
52018
Constraint Enforcement on Decision Trees: A Survey
G Nanfack, P Temple, B Frénay
ACM Computing Surveys (CSUR) 54 (10s), 1-36, 2022
32022
Machine learning and configurable systems: a gentle introduction
JA Pereira, H Martin, P Temple, M Acher
Proceedings of the 24th ACM Conference on Systems and Software Product Line …, 2020
32020
Multimorphic testing
P Temple, M Acher, JM Jézéquel
Proceedings of the 40th International Conference on Software Engineering …, 2018
32018
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
22021
Machine Learning and Configurable Systems: A Gentle Introduction
H Martin, JA Pereira, M Acher, P Temple
Proceedings of the 23rd International Systems and Software Product Line …, 2019
12019
Explicit or Implicit? On Feature Engineering for ML-based Variability-intensive Systems
P Temple, G Perrouin
Proceedings of the 17th International Working Conference on Variability …, 2023
2023
Machine Learning for Feature Constraints Discovery
H Martin, P Temple, M Acher, JA Pereira, JM Jézéquel
Handbook of Re-Engineering Software Intensive Systems into Software Product …, 2022
2022
Towards Generalizable Machine Learning for Chest X-ray Diagnosis with Multi-task learning
S Ghamizi, B Garcia Santa Cruz, P Temple, M Cordy, G Perrouin, ...
2022
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