Machine learning and configurable systems

Hugo Martin, Juliana Alves Pereira, Mathieu Acher, Paul Temple

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

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 configurable systems and software product lines. To the best of our knowledge, this is the first practical tutorial in this trending field. The tutorial is based on a systematic literature review and includes practical tasks (specialization, performance prediction) on real-world systems (VaryLaTeX, x264).

Original languageEnglish
Title of host publicationSPLC 2019 - 23rd International Systems and Software Product Line Conference
EditorsThorsten Berger, Philippe Collet, Laurence Duchien, Thomas Fogdal, Patrick Heymans, Timo Kehrer, Jabier Martinez, Raul Mazo, Leticia Montalvillo, Camille Salinesi, Xhevahire Ternava, Thomas Thum, Tewfik Ziadi
Pages325-326
Number of pages2
VolumeA
ISBN (Electronic)9781450371384
DOIs
Publication statusPublished - 9 Sep 2019

Publication series

NameACM International Conference Proceeding Series
VolumeA

Keywords

  • Configurable systems
  • Machine learning
  • Software product lines

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