Validating Automotive Control Software Using Instrumentation-Based Verification

  • Authors:
  • Arnab Ray;Iris Morschhaeuser;Chris Ackermann;Rance Cleaveland;Charles Shelton;Chris Martin

  • Affiliations:
  • -;-;-;-;-;-

  • Venue:
  • ASE '09 Proceedings of the 2009 IEEE/ACM International Conference on Automated Software Engineering
  • Year:
  • 2009

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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.