• DocumentCode
    1852395
  • Title

    Validating Automotive Control Software Using Instrumentation-Based Verification

  • Author

    Ray, Arnab ; Morschhaeuser, Iris ; Ackermann, Chris ; Cleaveland, Rance ; Shelton, Charles ; Martin, Chris

  • Author_Institution
    Fraunhofer Center for Exp. Software Eng., College Park, MD, USA
  • fYear
    2009
  • fDate
    16-20 Nov. 2009
  • Firstpage
    15
  • Lastpage
    25
  • Abstract
    This paper discusses the results of an application of a formally based verification technique, called Instrumentation-Based Verification (IBV), to a production automotive lighting controller. The goal of the study is to assess, from both a tools as well as a methodological perspective, the performance of IBV in an industrial setting. The insights obtained as a result of the project include a refinement of a previously developed architecture for requirements specifications; observations about changes to model-based design workflows; insights into the role of requirements during development; and the capability of automated verification to detect inconsistencies among requirements as well as between requirements and design models.
  • Keywords
    formal verification; IBV; automotive control software validation; formal verification; instrumentation-based verification; model-based design workflows; production automotive lighting controller; Automatic control; Automotive engineering; Educational institutions; Instruments; Lighting control; Mathematical model; Monitoring; Production; Software engineering; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automated Software Engineering, 2009. ASE '09. 24th IEEE/ACM International Conference on
  • Conference_Location
    Auckland
  • ISSN
    1938-4300
  • Print_ISBN
    978-1-4244-5259-0
  • Electronic_ISBN
    1938-4300
  • Type

    conf

  • DOI
    10.1109/ASE.2009.98
  • Filename
    5431787