Pattern-based Safety Engineering: Semantic Enrichment of System-Architecture Models for Semi-Automated Safety Analysis (bibtex)
by Kai Höfig, Dominik Domis, Mario Trapp, Heiko Stallbaum
Abstract:
The growing complexity of safety-critical systems is leading to an increased complexity of safety analysismodels. Automatic transformations from the system model into the safety analysis model help to reduce timeand cost for safety analyses. In this paper, we describe a pattern annotation framework for development modelsof safety-critical systems that is used to annotate system entities of fault tolerance mechanisms. We use theannotations as a source of semantic information to automatically generate parts of the safety analysis model. Thepresented approach contributes to the safety analysis domain by explicitly preserving the knowledge of domainexperts and engineers within the model. Our approach allows performing a semi-automated preliminary safetyanalysis of fault tolerance mechanisms to estimate the failure behavior of a safety-critical systems architecturemodel in early stages of the development. This saves effort and costs for ongoing steps of the developmentprocess and prevents setbacks in the development.
Reference:
K. Höfig et al., "Pattern-based Safety Engineering: Semantic Enrichment of System-Architecture Models for Semi-Automated Safety Analysis", in ESREL, Proceedings of, 2010.
Bibtex Entry:
@INPROCEEDINGS{Hoefig2010,
  author = {Höfig, Kai and Domis, Dominik and Trapp, Mario and Stallbaum, Heiko},
  title = {Pattern-based Safety Engineering: Semantic Enrichment of {System-Architecture}
	Models for {Semi-Automated} Safety Analysis},
  booktitle = {ESREL, Proceedings of},
  year = {2010},
  abstract = {The growing complexity of safety-critical systems is leading to an
	increased complexity of safety analysismodels. Automatic transformations
	from the system model into the safety analysis model help to reduce
	timeand cost for safety analyses. In this paper, we describe a pattern
	annotation framework for development modelsof safety-critical systems
	that is used to annotate system entities of fault tolerance mechanisms.
	We use theannotations as a source of semantic information to automatically
	generate parts of the safety analysis model. Thepresented approach
	contributes to the safety analysis domain by explicitly preserving
	the knowledge of domainexperts and engineers within the model. Our
	approach allows performing a semi-automated preliminary safetyanalysis
	of fault tolerance mechanisms to estimate the failure behavior of
	a safety-critical systems architecturemodel in early stages of the
	development. This saves effort and costs for ongoing steps of the
	developmentprocess and prevents setbacks in the development.}
}
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