Paul Temple

Orcid: 0000-0002-8276-0593

According to our database1, Paul Temple authored at least 22 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Learning input-aware performance models of configurable systems: An empirical evaluation.
J. Syst. Softw., February, 2024

Towards Feature-based ML-enabled Behaviour Location.
Proceedings of the 18th International Working Conference on Variability Modelling of Software-Intensive Systems, 2024

2023
Learning Customised Decision Trees for Domain-knowledge Constraints.
Pattern Recognit., October, 2023

Explicit or Implicit? On Feature Engineering for ML-based Variability-intensive Systems.
Proceedings of the 17th International Working Conference on Variability Modelling of Software-Intensive Systems, 2023

Machine Learning for Feature Constraints Discovery.
Proceedings of the Handbook of Re-Engineering Software Intensive Systems into Software Product Lines, 2023

2022
Constraint Enforcement on Decision Trees: A Survey.
ACM Comput. Surv., January, 2022

2021
Empirical Assessment of Multimorphic Testing.
IEEE Trans. Software Eng., 2021

Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning.
SIGKDD Explor., 2021

Empirical assessment of generating adversarial configurations for software product lines.
Empir. Softw. Eng., 2021

Global explanations with decision rules: a co-learning approach.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

VaryMinions: leveraging RNNs to identify variants in event logs.
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.
Proceedings of the 13th International Workshop on Variability Modelling of Software-Intensive Systems, 2019

Towards quality assurance of software product lines with adversarial configurations.
Proceedings of the 23rd International Systems and Software Product Line Conference, 2019

Machine learning and configurable systems: a gentle introduction.
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).
PhD thesis, 2018

Towards Adversarial Configurations for Software Product Lines.
CoRR, 2018

VaryLATEX: Learning Paper Variants That Meet Constraints.
Proceedings of the 12th International Workshop on Variability Modelling of Software-Intensive Systems, 2018

Towards Estimating and Predicting User Perception on Software Product Variants.
Proceedings of the New Opportunities for Software Reuse - 17th International Conference, 2018

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

2017
Learning Contextual-Variability Models.
IEEE Softw., 2017

2016
Using machine learning to infer constraints for product lines.
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.
Inf. Econ. Policy, 2002


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