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Hugo MARTIN
Hugo MARTIN
PhD Student, IRISA, University of Rennes 1
Geverifieerd e-mailadres voor irisa.fr
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Learning software configuration spaces: A systematic literature review
JA Pereira, M Acher, H Martin, JM Jézéquel, G Botterweck, A Ventresque
Journal of Systems and Software 182, 111044, 2021
912021
Sampling effect on performance prediction of configurable systems: A case study
J Alves Pereira, M Acher, H Martin, JM Jézéquel
Proceedings of the ACM/SPEC International Conference on Performance …, 2020
662020
Transfer learning across variants and versions: The case of linux kernel size
H Martin, M Acher, JA Pereira, L Lesoil, JM Jézéquel, DE Khelladi
IEEE Transactions on Software Engineering 48 (11), 4274-4290, 2021
362021
Learning very large configuration spaces: What matters for linux kernel sizes
M Acher, H Martin, JA Pereira, A Blouin, JM Jézéquel, DE Khelladi, ...
Inria Rennes-Bretagne Atlantique, 2019
262019
Learning from thousands of build failures of Linux kernel configurations
M Acher, H Martin, JA Pereira, A Blouin, DE Khelladi, JM Jézéquel
Inria; IRISA, 2019
212019
A comparison of performance specialization learning for configurable systems
H Martin, M Acher, JA Pereira, JM Jézéquel
Proceedings of the 25th ACM international systems and software product line …, 2021
132021
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
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
Learning Software Configuration Spaces: A Systematic Literature Review
J Alves Pereira, H Martin, M Acher, JM Jézéquel, G Botterweck, ...
arXiv e-prints, arXiv: 1906.03018, 2019
22019
Learning Software Configuration Spaces: A Systematic
JA Pereira, H Martin, M Acher, JM Jézéquel, G Botterweck, A Ventresque
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Artikelen 1–10