Formalisation of Quantitative UML models Using Continuous Time Markov Chains.

Nawal Addouche (1) , Christian Antoine (1) , Jacky Montmain (1)

1 LGI2P - Laboratoire de Génie Informatique et Ingénierie de Production

In this paper, a quantitative modelling with UML is presented and a translation from concurrent extended UML statecharts into continuous time Markov chains (CTMCs) is proposed. These are widely used in the context of performance and reliability evaluation of various systems. Our aim is to carry out a probabilistic model checking of properties related to dependability of probabilistic systems. A semantics based on stochastic clocks is used to easily translate from UML statecharts augmented with stochastic time to CTMCs. Temporal probabilistic properties related to system dependability are specified with continuous stochastic logic (CSL).

Mots clés: Probabilistic systems; UML; CTMCs; Dependability properties; Probabilistic model checking

Domaines: Automatique

Nawal Addouche, Christian Antoine, Jacky Montmain. Formalisation of Quantitative UML models Using Continuous Time Markov Chains.. Third Conference on Management and Control of Production and Logistics (IFAC MCPL 04), 2004, Santiago, Chile. ⟨hal-00354035⟩