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Validating Automotive Control Software Using Instrumentation-Based Verification

Arnab Ray, Iris Morschhaeuser, Christopher Ackermann, Rance Cleaveland, Charles P. Shelton, Chris Martin

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.

BibTeX
@inproceedings{Ray-al:ASE09,
  author    = {Arnab Ray and
               Iris Morschhaeuser and
               Christopher Ackermann and
               Rance Cleaveland and
               Charles P. Shelton and
               Chris Martin},
  title     = {Validating Automotive Control Software Using {Instrumentation-Based} Verification},
  booktitle = {ASE},
  pages     = {15--25},
  publisher = {{IEEE} Computer Society},
  year      = {2009},
}

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