Metamorphic Testing of Driverless Cars.

The article discusses the use of metamorphic testing to test driverless cars, specifically their untestable software, detecting fatal errors in autonomous vehicles' onboard computer systems. Topics include metamorphic testing's cost-effective ability to address the oracle problem and the automated t...

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Publicado en:Communications of the ACM Vol. 62; no. 3; pp. 61 - 68
Autores principales: ZHI QUAN ZHOU, LIQUN SUN
Formato: Artículo
Publicado: Association for Computing Machinery Mar2019
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Metamorphic Testing of Driverless Cars.
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          ZHI QUAN ZHOU
          LIQUN SUN
        affil:
          Associate professor in software engineering at the School of Computing and Information Technology
          University of Wollongong, Wollongong, NSW, Australia
          M.Phil. degree in computer science at the University of Wollongong, Wollongong, NSW, Australia
      su:
        Automated guided vehicle systems
        Computer software testing
        Driverless cars
        LIDAR
        Radar
      sug:
        subj:
          Automated guided vehicle systems
          Computer software testing
          Driverless cars
          LIDAR
          Radar
      ab: The article discusses the use of metamorphic testing to test driverless cars, specifically their untestable software, detecting fatal errors in autonomous vehicles' onboard computer systems. Topics include metamorphic testing's cost-effective ability to address the oracle problem and the automated test-case-generation problem, and the use of both LiDAR obstacle perception to determine an object's shape and position and radar to estimate the velocity of moving obstacles in autonomous vehicles.
      pubtype: Periodical
      doctype: Article
      src: R
    language: English
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