Dealing with uncertainty in verification of nondeterministic systems

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

4 Scopus citations

Abstract

Uncertainty complicates the formal verification of nondeterministic systems. Unpredictable changes and alterations in their environments can lead an invalid verification results and the decrease of confidence degree of these systems. However, current literature provides little account of addressing the uncertainty in formal verification. To address this problem, the goal of this research is to provide a method based on perturbation analysis for probabilistic model checking of nondeterministic systems which are modelled as Markov Decision Processes. And to apply our expected contributions to ubiquitous systems due to inherent presence of environment uncertainty and their resource limitations.

Original languageEnglish
Title of host publication22nd ACM SIGSOFT International Symposium on the Foundations of Software Engineering, FSE 2014 - Proceedings
PublisherAssociation for Computing Machinery
Pages787-790
Number of pages4
ISBN (Electronic)9781450330565
DOIs
StatePublished - 16 Nov 2014
Externally publishedYes
Event22nd ACM SIGSOFT International Symposium on the Foundations of Software Engineering, FSE 2014 - Hong Kong, China
Duration: 16 Nov 201421 Nov 2014

Publication series

NameProceedings of the ACM SIGSOFT Symposium on the Foundations of Software Engineering
Volume16-21-November-2014

Conference

Conference22nd ACM SIGSOFT International Symposium on the Foundations of Software Engineering, FSE 2014
Country/TerritoryChina
CityHong Kong
Period16/11/1421/11/14

Keywords

  • Markov Decision Processes
  • Perturbation analysis
  • Probabilistic model checking
  • Uncertainty

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