• English
  • Deutsch
  • Log In
    Password Login
    or
  • Research Outputs
  • Projects
  • Researchers
  • Institutes
  • Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Efficient reachability graph development for qualitive analysis of state/event fault trees
 
  • Details
  • Full
Options
2015
Conference Paper
Titel

Efficient reachability graph development for qualitive analysis of state/event fault trees

Abstract
In the modern environment, people are more and more dependent from software-controlled systems. If it comes, however, to the certification of those systems, frequently used methods like fault tree analysis or Markov models have some crucial disadvantages, especially in modeling the hierarchical decomposition as well as the temporal behavior of the underlying system. To deal with these weak points, state/event fault trees (SEFTs) [9] were developed. All analysis methods of SEFTs - qualitative and quantitative - based on their reachability graphs which are traditionally developed by translation into equivalent Petri-nets. However, this Petri-net translation and its subsequent reachability graph development is a computationally expensive procedure that comes mostly with a state-space explosion. In this paper, we propose an approach that is able to develop an SEFT's reachability graph directly without an intermediate Petri-net model. In the evaluation we have carrie out some case studies in order to show that the direct approach increases the efficiency w. r. t. memory and time consumption while maintaining the same results as the traditional approach.
Author(s)
Roth, Michael
Hartoyo, Agus
Liggesmeyer, Peter
Hauptwerk
IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2015. Proceedings
Konferenz
International Symposium on Software Reliability Engineering (ISSRE) 2015
Thumbnail Image
DOI
10.1109/ISSREW.2015.7392060
Language
English
google-scholar
Fraunhofer-Institut für Experimentelles Software Engineering IESE
Tags
  • software

  • petri nets

  • software engineering

  • qualitative analysis

  • Fault Tree Analysis (FTA)

  • Quantitative Analysis

  • State Event Fault Tree (SEFT)

  • fault tree

  • reliability analysis

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Send Feedback
© 2022