| 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 | 72 | 2021 |
| 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 | 65 | 2020 |
| 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 | 34 | 2021 |
| 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 | 24 | 2019 |
| 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 | 22 | 2019 |
| 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 | 12 | 2021 |
| 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 | 4 | 2020 |
| 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 | 2 | 2019 |
| 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 | 2 | 2019 |
| Learning Software Configuration Spaces: A Systematic JA Pereira, H Martin, M Acher, JM Jézéquel, G Botterweck, A Ventresque | | |
