Advances and Challenges of Probabilistic Model Checking - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2010

Advances and Challenges of Probabilistic Model Checking


Probabilistic model checking is a powerful technique for formally verifying quantitative properties of systems that exhibit stochastic behaviour. Such systems are found in many domains: probabilistic behaviour may arise, for example, due to failures of unreliable components, communication across lossy media, or through the use of randomisation in distributed protocols. In this paper, we give a short overview of probabilistic model checking and of PRISM (, currently the leading software tool in this area. We then mention some of the limitations of these techniques, describe some of the advances that are being made to overcome them, and outline key challenges that remain in this research area.
Fichier principal
Vignette du fichier
allerton10.pdf (162.08 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-00767474 , version 1 (19-12-2012)


  • HAL Id : hal-00767474 , version 1


Marta Kwiatkowska, Gethin Norman, David Parker. Advances and Challenges of Probabilistic Model Checking. 48th Annual Allerton Conference on Communication, Control and Computing, Sep 2010, Monticello, United States. pp.1691-1698. ⟨hal-00767474⟩


62 View
439 Download


Gmail Facebook X LinkedIn More