Model checking has been introduced as an automated technique to verify whether functional properties, expressed in a formal logic like computational tree logic (CTL), do hold in a formally-specified system. We present a number of computational procedures to perform model checking of continuous stochastic reward logic (CSRL) over finite Markov reward models, thereby stressing their computational complexity (time and space) and applicability from a practical point of view (accuracy, stability). A case study in the area of ad hoc mobile computing under power constraints shows the merits of CSRL and the new computational procedures
International audienceMarkov chains are a well-known stochastic process that provide a balance betwe...
This dissertation deals with four important aspects of model checking Markov chains: the development...
This tutorial presents an overview of model checking for both discrete and continuous-time Markov ch...
This paper describes efficient procedures for model checking Markov reward models, that allow us to ...
Model checking Markov reward models unites two different approaches of model-based system validation...
Model checking Markov reward models unites two dierent approaches of model-based system validation. ...
This paper gives a bird's-eye view of the various ingredients that make up a modern, model-checking-...
This paper considers model checking of Markov reward models (MRMs), continuous-time Markov chains wi...
This paper considers model checking of Markov reward models (MRMs), continuous-time Markov chains wi...
Markov chains (and their extensions with rewards) have been widely used to determine performance, de...
Abstract. Markov chains (and their extensions with rewards) have been widely used to determine perfo...
We describe a novel model checking algorithm for analysing the behaviour of stochastic systems with ...
Markov-reward models, as extensions of continuous-time Markov chains, have received increased attent...
Abstract. This tutorial presents an overview of model checking for both discrete and continuous-time...
The Temporal Mobile Stochastic Logic (MOSL) has been introduced in previous work by the authors for ...
International audienceMarkov chains are a well-known stochastic process that provide a balance betwe...
This dissertation deals with four important aspects of model checking Markov chains: the development...
This tutorial presents an overview of model checking for both discrete and continuous-time Markov ch...
This paper describes efficient procedures for model checking Markov reward models, that allow us to ...
Model checking Markov reward models unites two different approaches of model-based system validation...
Model checking Markov reward models unites two dierent approaches of model-based system validation. ...
This paper gives a bird's-eye view of the various ingredients that make up a modern, model-checking-...
This paper considers model checking of Markov reward models (MRMs), continuous-time Markov chains wi...
This paper considers model checking of Markov reward models (MRMs), continuous-time Markov chains wi...
Markov chains (and their extensions with rewards) have been widely used to determine performance, de...
Abstract. Markov chains (and their extensions with rewards) have been widely used to determine perfo...
We describe a novel model checking algorithm for analysing the behaviour of stochastic systems with ...
Markov-reward models, as extensions of continuous-time Markov chains, have received increased attent...
Abstract. This tutorial presents an overview of model checking for both discrete and continuous-time...
The Temporal Mobile Stochastic Logic (MOSL) has been introduced in previous work by the authors for ...
International audienceMarkov chains are a well-known stochastic process that provide a balance betwe...
This dissertation deals with four important aspects of model checking Markov chains: the development...
This tutorial presents an overview of model checking for both discrete and continuous-time Markov ch...