Performance evaluation of stochastic real-time systems with the SBIP framework

Abstract

The SBIP framework consists of a stochastic real-time component-based modelling formalism and a statistical model checking engine. The former is built as a stochastic extension of the real-time BIP formalism and enables the construction of stochastic real-time systems in a compositional way. The statistical engine implements a set of statistical algorithms for the quantitative and qualitative assessment of probabilistic properties. The paper provides a thorough introduction to the SBIP formalism and the associated verification method. In a second part, it surveys several case studies about modelling and verification of real-life systems, including various network protocols and multimedia applications.