@inproceedings{Kuntz2011proba-14779,
  year={2011},
  doi={10.1007/978-3-642-24270-0_6},
  title={From probabilistic counterexamples via causality to fault trees},
  number={6894},
  isbn={978-3-642-24269-4},
  publisher={Springer Berlin Heidelberg},
  address={Berlin, Heidelberg},
  series={Lecture Notes in Computer Science},
  booktitle={Computer Safety, Reliability, and Security},
  pages={71--84},
  editor={Flammini, Francesco and Bologna, Sandro and Vittorini, Valeria},
  author={Kuntz, Matthias and Leitner-Fischer, Florian and Leue, Stefan}
}

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    <dc:creator>Kuntz, Matthias</dc:creator>
    <dc:contributor>Leue, Stefan</dc:contributor>
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    <dc:contributor>Kuntz, Matthias</dc:contributor>
    <dcterms:title>From probabilistic counterexamples via causality to fault trees</dcterms:title>
    <dc:creator>Leue, Stefan</dc:creator>
    <dc:creator>Leitner-Fischer, Florian</dc:creator>
    <dcterms:bibliographicCitation>First publ. in: Computer safety, reliability, and security : 30th international conference, SAFECOMP 2011, Naples, Italy, September 19-22, 2011 ; proceedings / Francesco Flammini; Sandro Bologna; Valeria Vittorini (eds.). - Heidelberg [u.a.] : Springer, 2011. - S. 71-84. - (Lecture Notes in Computer Science ; 6894)</dcterms:bibliographicCitation>
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    <dcterms:abstract xml:lang="eng">In recent years, several approaches to generate probabilistic counterexamples have been proposed. The interpretation of stochastic counterexamples, however, continues to be problematic since they have to be represented as sets of paths, and the number of paths in this set may be very large. Fault trees (FTs) are a well-established industrial technique to represent causalities for possible system hazards resulting from system or system component failures. In this paper we suggest a method to automatically derive FTs from counterexamples, including a mapping of the probability information onto the FT. We extend the structural equation approach by Pearl and Halpern, which is based on Lewis counterfactuals, so that it serves as a justification for the causality that our proposed FT derivation rules imply. We demonstrate the usefulness of our approach by applying it to an industrial case study.</dcterms:abstract>
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    <dc:contributor>Leitner-Fischer, Florian</dc:contributor>
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