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Machine Learning and Configurable Systems: A Gentle Introduction

Hugo Martin 1 Juliana Pereira 2 Mathieu Acher 1 Paul Temple 3
1 DiverSe - Diversity-centric Software Engineering
Inria Rennes – Bretagne Atlantique , IRISA-D4 - LANGAGE ET GÉNIE LOGICIEL
2 IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires
3 UNamur - Université de Namur [Namur]
Abstract : The goal of this tutorial is to give an introduction to how machine learning can be used to support activities related to the engineering of con gurable systems and software product lines. To the best of our knowledge, this is the rst practical tutorial in this trending eld. The tutorial is based on a systematic literature review and includes practical tasks (specialization, performance prediction) on real-world systems (VaryLaTeX, x264).
Keywords : Software Product Lines Machine Learning Con gurable Systems
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Conference papers
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https://hal.inria.fr/hal-02287459
Contributor : Mathieu Acher Connect in order to contact the contributor
Submitted on : Monday, November 23, 2020 - 2:41:12 PM
Last modification on : Wednesday, November 3, 2021 - 8:18:29 AM

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Hugo Martin, Juliana Pereira, Mathieu Acher, Paul Temple. Machine Learning and Configurable Systems: A Gentle Introduction. SPLC 2019 - 23rd International Systems and Software Product Line Conference, Sep 2019, Paris, France. pp.83-88, ⟨10.1145/3336294.3342383⟩. ⟨hal-02287459v2⟩

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