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Causality Checking for Complex System Models

  • Florian Leitner-Fischer
  • Stefan Leue
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7737)

Abstract

We present an approach for the algorithmic computation of causalities in system models that we refer to as causality checking. We base our notion of causality on counterfactual reasoning, in particular using the structural equation model approach by Halpern and Pearl that we recently have extended to reason about computational models. In this paper we present a search-based on-the-fly approach that nicely integrates into finite state verification techniques, such as explicit-state model checking. We demonstrate the applicability of our approach using an industrial case study.

Keywords

Model Check Transition System Event Variable Fault Tree Execution Trace 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Florian Leitner-Fischer
    • 1
  • Stefan Leue
    • 1
  1. 1.University of KonstanzGermany

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