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Paul Temple
Paul Temple
Assoc Prof IRISA/UnivRennes, Rennes, FRANCE
Preverjeni e-poštni naslov na irisa.fr - Domača stran
Naslov
Navedeno
Navedeno
Leto
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
872016
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
552021
Learning contextual-variability models
P Temple, M Acher, JM Jézéquel, O Barais
IEEE Software 34 (6), 64-70, 2017
412017
Constraint enforcement on decision trees: A survey
G Nanfack, P Temple, B Frénay
ACM Computing Surveys (CSUR) 54 (10s), 1-36, 2022
332022
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
292019
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
272018
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
172017
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
162019
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
122021
Learning customised decision trees for domain-knowledge constraints
G Nanfack, P Temple, B Frénay
Pattern Recognition 142, 109610, 2023
112023
Global explanations with decision rules: a co-learning approach
G Nanfack, P Temple, B Frénay
Uncertainty in Artificial Intelligence, 589-599, 2021
112021
Empirical assessment of multimorphic testing
P Temple, M Acher, JM Jézéquel
IEEE Transactions on Software Engineering 47 (7), 1511-1527, 2019
92019
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
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
82018
Towards adversarial configurations for software product lines
P Temple, M Acher, B Biggio, JM Jézéquel, F Roli
arXiv preprint arXiv:1805.12021, 2018
72018
VaryMinions
S Fortz, P Temple, X Devroey, P Heymans, G Perrouin
DOI: https://doi. org/10.5281/zenodo 7492126, 2022
52022
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
42020
Multimorphic testing
P Temple, M Acher, JM Jézéquel
Proceedings of the 40th International Conference on Software Engineering …, 2018
42018
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
32023
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
22019
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