A Framework for Verification of Software with Time and Probabilities

Abstract. Quantitative verification techniques are able to establish system properties such as "the probability of an airbag failing to deploy on demand" or "the expected time for a network protocol to successfully send a message packet". In this paper, we describe a framework for quantitative verification of software that exhibits both real-time and probabilistic behaviour. The complexity of real software, combined with the need to capture precise timing information, necessitates the use of ion techniques. We outline a quantitative abstraction refinement approach, which can be used to automatically construct and analyse abstractions of probabilistic, real-time programs. As a concrete example of the potential applicability of our framework, we discuss the challenges involved in applying it to the quantitative verification of SystemC, an increasingly popular system-level modelling language.

• Type: Journal
• Year: 2010
• Where: FORMATS
• Authors: Marta Z. Kwiatkowska, Gethin Norman, David Parker
• Keywords: Formal Methods, FORMATS 2010, Popular System-level Modelling, Quantitative Abstraction Refinement, Quantitative Verification