Statistical model-checking is a recent technique used for both verification and performance analysis of hybrid systems. It does not suffer from decidability issues or state-space explosion compared to traditional model-checking. Furthermore, it is applicable to more powerful formalisms such as stochastic hybrid automata. Its principle is simple so how simple is it really to make it work in practice? In this extended abstract, we raise a number of practical issue, some of them disconnected from the underlying theory, and show how they are addressed in Up- paal SMC
Abstract. Quantitative properties of stochastic systems are usually spec-ified in logics that allow ...
Statistical Model Checking (SMC) is a powerful and widely used approach that consists in estimating ...
Statistical model checking (SMC) is an analysis method that circumvents the state space explosion pr...
Statistical model-checking is a recent technique used for both verification and performance analysis...
This paper presents novel extensions and applications of the UPPAAL-SMC model checker. The extension...
This paper presents novel extensions and applications of the UPPAAL-SMC model checker. The extension...
International audienceThis paper contains material for our tutorial presented at STRESS 2016. This i...
We address the problem of model checking stochastic sys-tems, i.e. checking whether a stochastic sys...
This paper offers a survey of U PPAAL - SMC, a major extension of the real-time verification toolU P...
The date of receipt and acceptance will be inserted by the editor Abstract. This tutorial paper surv...
We address the problem of model checking stochastic systems, i.e., checking whether a stochastic sys...
Statistical Model Checking (SMC) is a highly scalable simulation-based verification approach for tes...
International audienceStatistical Model Checking (SMC) is a compromise between verification and test...
Abstract: In this paper we present a modelling formalism for dynamic networks of stochastic hybrid a...
International audienceQuantitative properties of stochastic systems are usually specified in logics ...
Abstract. Quantitative properties of stochastic systems are usually spec-ified in logics that allow ...
Statistical Model Checking (SMC) is a powerful and widely used approach that consists in estimating ...
Statistical model checking (SMC) is an analysis method that circumvents the state space explosion pr...
Statistical model-checking is a recent technique used for both verification and performance analysis...
This paper presents novel extensions and applications of the UPPAAL-SMC model checker. The extension...
This paper presents novel extensions and applications of the UPPAAL-SMC model checker. The extension...
International audienceThis paper contains material for our tutorial presented at STRESS 2016. This i...
We address the problem of model checking stochastic sys-tems, i.e. checking whether a stochastic sys...
This paper offers a survey of U PPAAL - SMC, a major extension of the real-time verification toolU P...
The date of receipt and acceptance will be inserted by the editor Abstract. This tutorial paper surv...
We address the problem of model checking stochastic systems, i.e., checking whether a stochastic sys...
Statistical Model Checking (SMC) is a highly scalable simulation-based verification approach for tes...
International audienceStatistical Model Checking (SMC) is a compromise between verification and test...
Abstract: In this paper we present a modelling formalism for dynamic networks of stochastic hybrid a...
International audienceQuantitative properties of stochastic systems are usually specified in logics ...
Abstract. Quantitative properties of stochastic systems are usually spec-ified in logics that allow ...
Statistical Model Checking (SMC) is a powerful and widely used approach that consists in estimating ...
Statistical model checking (SMC) is an analysis method that circumvents the state space explosion pr...