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

, , , , , , , and . SPLC (A), page 85-96. ACM, (2022)

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Deep Software Variability: Towards Handling Cross-Layer Configuration., , , and . VaMoS, page 10:1-10:8. ACM, (2021)The interplay of compile-time and run-time options for performance prediction., , , , and . SPLC (A), page 100-111. ACM, (2021)A Call for Removing Variability., , , , and . VaMoS, page 82-84. ACM, (2023)Deep Software Variability for Resilient Performance Models of Configurable Systems. (Variabilité Logicielle Profonde pour des Modèles de Performance Résilients).. University of Rennes 1, France, (2023)Input sensitivity on the performance of configurable systems an empirical study., , , and . J. Syst. Softw., (July 2023)Scratching the Surface of ./configure: Learning the Effects of Compile-Time Options on Binary Size and Gadgets., , , , and . ICSR, volume 13297 of Lecture Notes in Computer Science, page 41-58. Springer, (2022)Feature subset selection for learning huge configuration spaces: the case of linux kernel size., , , , , , , and . SPLC (A), page 85-96. ACM, (2022)Beware of the Interactions of Variability Layers When Reasoning about Evolution of MongoDB., , , and . ICPE (Companion), page 39-43. ACM, (2022)Transferring Performance between Distinct Configurable Systems : A Case Study., , , , and . VaMoS, page 10:1-10:6. ACM, (2022)On the Interaction of Feature Toggles., , , , and . VaMoS, page 9:1-9:5. ACM, (2022)