A model-driven approach for runtime reliability analysis

Dominik Sojer, Frank Reichenbach, Stein Erik Ellevseth, Christian Buckl, Alois Knoll

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Runtime reliability analysis has proven to be avaluable technique to enhance the overall reliability of safety-critical systems. It has the potential to close the dependability gap that has been identified by Laprie. However, existing approaches suffer from either too complex and therefore errorproneinput languages or from long execution time due to the state space explosion of the underlying analysis techniques. In this paper, we present an approach for runtime reliability analysis, which handles both problems. It provides a compactmetamodel that can be used to describe all necessary information. Moreover, it provides analysis algorithms that can be automatically parameterized by code generation. These algorithms are runtime efficient so that they can be executed even on low-end computers, e.g., safety-critical embedded systems, to adapt the system to changing environmental conditions.

Original languageEnglish
Title of host publicationProceedings - 6th Latin-American Symposium on Dependable Computing, LADC 2013
Pages21-30
Number of pages10
DOIs
StatePublished - 2013
Event6th Latin-American Symposium on Dependable Computing, LADC 2013 - Rio de Janeiro, Brazil
Duration: 2 Apr 20135 Apr 2013

Publication series

NameProceedings - 6th Latin-American Symposium on Dependable Computing, LADC 2013

Conference

Conference6th Latin-American Symposium on Dependable Computing, LADC 2013
Country/TerritoryBrazil
CityRio de Janeiro
Period2/04/135/04/13

Keywords

  • embedded systems
  • reliabilty
  • safety

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