Achieving weight coverage for an autonomous driving system with search-based test generation (HOP track at GECCO 2021)

Thomas Laurent, Paolo Arcaini, Fuyuki Ishikawa, Anthony Ventresque

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationGECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion
PublisherAssociation for Computing Machinery, Inc
Pages33-34
Number of pages2
ISBN (Electronic)9781450383516
DOIs
StatePublished - Jul 8 2021
Event2021 Genetic and Evolutionary Computation Conference, GECCO 2021 - Virtual, Online, France
Duration: Jul 10 2021Jul 14 2021

Publication series

NameGECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion

Conference

Conference2021 Genetic and Evolutionary Computation Conference, GECCO 2021
Country/TerritoryFrance
CityVirtual, Online
Period7/10/217/14/21

ASJC Scopus Subject Areas

  • Computer Science Applications
  • Software
  • Computational Theory and Mathematics

Keywords

  • autonomous driving
  • search-based testing
  • weight coverage

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