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Author Kwiatkowska, Marta ♦ Parker, David ♦ Norman, Gethin
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Abstract In this paper, we describe some practical applications of probabilistic model checking, a technique for the formal analysis of systems which exhibit stochastic behaviour. We give an overview of a selection of case studies carried out using the probabilistic model checking tool PRISM, demonstrating the wide range of application domains to which these methods are applicable. We also illustrate several benefits of using formal verification techniques to analyse probabilistic systems, including: (i) that they allow a wide range of numerical properties to be computed accurately; and (ii) that they perform a complete and exhaustive analysis enabling, for example, a study of best- and worst-case scenarios.
Description Affiliation: University of Birmingham, Edgbaston, Birmingham, UK (Kwiatkowska, Marta; Norman, Gethin; Parker, David)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-01-10
Publisher Place New York
Journal ACM SIGMETRICS Performance Evaluation Review (PERV)
Volume Number 32
Issue Number 4
Page Count 6
Starting Page 16
Ending Page 21


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Source: ACM Digital Library