Paul Temple

According to our database, Paul Temple authored at least 24 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

VaryMinions: leveraging RNNs to identify variants in variability-intensive systems' logs.

Sophie Fortz, Paul Temple, Xavier Devroey, Patrick Heymans, Gilles Perrouin

Empir. Softw. Eng., July, 2024

Learning input-aware performance models of configurable systems: An empirical evaluation.

Luc Lesoil, Helge Spieker, Arnaud Gotlieb, Mathieu Acher, Paul Temple, Arnaud Blouin, Jean-Marc Jézéquel

J. Syst. Softw., February, 2024

Towards Feature-based ML-enabled Behaviour Location.

Sophie Fortz, Paul Temple, Xavier Devroey, Gilles Perrouin

Proceedings of the 18th International Working Conference on Variability Modelling of Software-Intensive Systems, 2024

FairPipes: Data Mutation Pipelines for Machine Learning Fairness.

Camille Molinier, Paul Temple, Gilles Perrouin

Proceedings of the 5th ACM/IEEE International Conference on Automation of Software Test (AST 2024), 2024

2023

Learning Customised Decision Trees for Domain-knowledge Constraints.

Géraldin Nanfack, Paul Temple, Benoît Frénay

Pattern Recognit., October, 2023

Explicit or Implicit? On Feature Engineering for ML-based Variability-intensive Systems.

Paul Temple, Gilles Perrouin

Proceedings of the 17th International Working Conference on Variability Modelling of Software-Intensive Systems, 2023

Machine Learning for Feature Constraints Discovery.

Hugo Martin, Paul Temple, Mathieu Acher, Juliana Alves Pereira, Jean-Marc Jézéquel

Proceedings of the Handbook of Re-Engineering Software Intensive Systems into Software Product Lines, 2023

2022

Constraint Enforcement on Decision Trees: A Survey.

Géraldin Nanfack, Paul Temple, Benoît Frénay

ACM Comput. Surv., January, 2022

2021

Empirical Assessment of Multimorphic Testing.

Paul Temple, Mathieu Acher, Jean-Marc Jézéquel

IEEE Trans. Software Eng., 2021

Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning.

Pieter Delobelle, Paul Temple, Gilles Perrouin, Benoît Frénay, Patrick Heymans, Bettina Berendt

SIGKDD Explor., 2021

Empirical assessment of generating adversarial configurations for software product lines.

Paul Temple, Gilles Perrouin, Mathieu Acher, Battista Biggio, Jean-Marc Jézéquel, Fabio Roli

Empir. Softw. Eng., 2021

Global explanations with decision rules: a co-learning approach.

Géraldin Nanfack, Paul Temple, Benoît Frénay

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

VaryMinions: leveraging RNNs to identify variants in event logs.

Sophie Fortz, Paul Temple, Xavier Devroey, Patrick Heymans, Gilles Perrouin

Proceedings of the MaLTeSQuE@ESEC/SIGSOFT FSE 2021: Proceedings of the 5th International Workshop on Machine Learning Techniques for Software Quality Evolution, 2021

2019

Towards Learning-Aided Configuration in 3D Printing: Feasibility Study and Application to Defect Prediction.

Benoit Amand, Maxime Cordy, Patrick Heymans, Mathieu Acher, Paul Temple, Jean-Marc Jézéquel

Proceedings of the 13th International Workshop on Variability Modelling of Software-Intensive Systems, 2019

Towards quality assurance of software product lines with adversarial configurations.

Paul Temple, Mathieu Acher, Gilles Perrouin, Battista Biggio, Jean-Marc Jézéquel, Fabio Roli

Proceedings of the 23rd International Systems and Software Product Line Conference, 2019

Machine learning and configurable systems: a gentle introduction.

Hugo Martin, Juliana Alves Pereira, Mathieu Acher, Paul Temple

Proceedings of the 23rd International Systems and Software Product Line Conference, 2019

2018

Investigate the matrix: leveraging variability to specialize software and test suites. (Examinons la matrice: s'appuyer sur la variabilité pour spécialiser les systèmes et les suites de tests).

Paul Temple

PhD thesis, 2018

Towards Adversarial Configurations for Software Product Lines.

Paul Temple, Mathieu Acher, Battista Biggio, Jean-Marc Jézéquel, Fabio Roli

CoRR, 2018

VaryLATEX: Learning Paper Variants That Meet Constraints.

Mathieu Acher, Paul Temple, Jean-Marc Jézéquel, José Angel Galindo, Jabier Martinez, Tewfik Ziadi

Proceedings of the 12th International Workshop on Variability Modelling of Software-Intensive Systems, 2018

Towards Estimating and Predicting User Perception on Software Product Variants.

Jabier Martinez, Jean-Sébastien Sottet, Alfonso García Frey, Tegawendé F. Bissyandé, Tewfik Ziadi, Jacques Klein, Paul Temple, Mathieu Acher, Yves Le Traon

Proceedings of the New Opportunities for Software Reuse - 17th International Conference, 2018

Multimorphic testing.

Paul Temple, Mathieu Acher, Jean-Marc Jézéquel

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

2017

Learning Contextual-Variability Models.

Paul Temple, Mathieu Acher, Jean-Marc Jézéquel, Olivier Barais

IEEE Softw., 2017

2016

Using machine learning to infer constraints for product lines.

Paul Temple, José Angel Galindo, Mathieu Acher, Jean-Marc Jézéquel

Proceedings of the 20th International Systems and Software Product Line Conference, 2016

2002

Infra-technology and economic performance: evidence from the United Kingdom measurement infrastructure.

Paul Temple, Geoffrey Williams

Inf. Econ. Policy, 2002