Hugo Martin

According to our database, Hugo Martin authored at least 9 papers between 2019 and 2023.

Collaborative distances:

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

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

Transfer Learning Across Variants and Versions: The Case of Linux Kernel Size.

Hugo Martin, Mathieu Acher, Juliana Alves Pereira, Luc Lesoil, Jean-Marc Jézéquel, Djamel Eddine Khelladi

IEEE Trans. Software Eng., 2022

Transferring Performance between Distinct Configurable Systems : A Case Study.

Luc Lesoil, Hugo Martin, Mathieu Acher, Arnaud Blouin, Jean-Marc Jézéquel

Proceedings of the VaMoS '22: 16th International Working Conference on Variability Modelling of Software-Intensive Systems, Florence, Italy, February 23, 2022

Feature subset selection for learning huge configuration spaces: the case of linux kernel size.

Mathieu Acher, Hugo Martin, Luc Lesoil, Arnaud Blouin, Jean-Marc Jézéquel, Djamel Eddine Khelladi, Olivier Barais, Juliana Alves Pereira

Proceedings of the SPLC '22: 26th ACM International Systems and Software Product Line Conference, Graz, Austria, September 12, 2022

2021

Machine Learning for Performance Modelling on Colossal Software Configuration Spaces. (Apprentissage machine pour la modélisation de performances sur des espaces de configuration logiciels colossaux).

Hugo Martin

PhD thesis, 2021

Learning software configuration spaces: A systematic literature review.

Juliana Alves Pereira, Mathieu Acher, Hugo Martin, Jean-Marc Jézéquel, Goetz Botterweck, Anthony Ventresque

J. Syst. Softw., 2021

A comparison of performance specialization learning for configurable systems.

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

Proceedings of the SPLC '21: 25th ACM International Systems and Software Product Line Conference, 2021

2020

Sampling Effect on Performance Prediction of Configurable Systems: A Case Study.

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

Proceedings of the ICPE '20: ACM/SPEC International Conference on Performance Engineering, 2020

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