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Electronic Notes in Theoretical Computer Science
Article . 2007 . Peer-reviewed
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Formal Fault Tree Analysis - Practical Experiences

Authors: Ortmeier, Frank; Schellhorn, Gerhard;

Formal Fault Tree Analysis - Practical Experiences

Abstract

AbstractSafety is an important requirement for many modern systems. To ensure safety of complex critical systems, well-known safety analysis methods have been formalized. This holds in particular for automation sytsems and transportation systems. In this paper we present the formalization of one of the most wide spread safety analysis methods: fault tree analysis (FTA). Formal FTA allows to rigorously reason about completeness of a faulty tree. This means it is possible to prove whether a certain combination of component failures is critical for system failure or not. This is a big step forward as informal reasoning on cause-consequence relations is very error-prone.We report on our experiences with a real world case study from the domain of railroads. The here presented case study is – to our knowledge – the first complete formal fault tree analysis for an infinite state system. Until now only finite state systems have been analyzed with formal FTA by using model checking.

Country
Germany
Related Organizations
Keywords

fault tree analysis, formal methods, safety analysis, dependability, Theoretical Computer Science, Computer Science(all)

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
38
Top 10%
Top 10%
Top 10%
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