This paper reports on the implementation and the experiments with symbolic model checking of continuous-time Markov chains using multi-terminal binary decision diagrams (MTBDDs). Properties are expressed in Continuous Stochastic Logic (CSL) [7] which includes the means to express both transient and steady-state performance measures. We show that all CSL operators can be treated using standard operations on MTBDDs, thus allowing a rather straightforward implementation of symbolic CSL model checking on existing MTBDD-based platforms such as the verifier PRISM. The main result of the paper is an improvement of O(N)]]> in the time complexity of checking time-bounded until-formulas, where N is the number of states in the CTMC under consideration...
Symbolic model checking for purely probabilistic processes using MTBDDs [12] was introduced in [4] a...
This tutorial presents an overview of model checking for both discrete and continuous-time Markov ch...
In this paper we present efficient symbolic techniques for probabilistic model checking. These have ...
This paper reports on the implementation and the experiments with symbolic model checking of continu...
Continuous-time Markov chains (CTMCs) have been widely used to determine system performance and depe...
The verification of continuous-time Markov chains (CTMCs) against continuous stochastic logic (CSL) ...
We consider the model-checking problem of continuous-time Markov chains (CTMCs) with respect to Cond...
. The verification of continuous-time Markov chains (CTMCs) against continuous stochastic logic (CS...
© 2017 Elsevier Inc. The model checking problem of continuous-time Markov chains with respect to con...
In this paper we present efficient symbolic techniques for probabilistic model checking. These have ...
The design of complex concurrent systems often involves intricate performance and dependability cons...
Abstract. We present CCMC (Conditional CSL Model Checker), a model checker for continuous-time Marko...
This paper presents algorithms and experimental results for model-checking continuous-time Markov ch...
This paper reports on experimental results with symbolic model checking of probabilistic processes b...
We introduce a symbolic model checking procedure for Probabilistic Computation Tree Logic PCTL over ...
Symbolic model checking for purely probabilistic processes using MTBDDs [12] was introduced in [4] a...
This tutorial presents an overview of model checking for both discrete and continuous-time Markov ch...
In this paper we present efficient symbolic techniques for probabilistic model checking. These have ...
This paper reports on the implementation and the experiments with symbolic model checking of continu...
Continuous-time Markov chains (CTMCs) have been widely used to determine system performance and depe...
The verification of continuous-time Markov chains (CTMCs) against continuous stochastic logic (CSL) ...
We consider the model-checking problem of continuous-time Markov chains (CTMCs) with respect to Cond...
. The verification of continuous-time Markov chains (CTMCs) against continuous stochastic logic (CS...
© 2017 Elsevier Inc. The model checking problem of continuous-time Markov chains with respect to con...
In this paper we present efficient symbolic techniques for probabilistic model checking. These have ...
The design of complex concurrent systems often involves intricate performance and dependability cons...
Abstract. We present CCMC (Conditional CSL Model Checker), a model checker for continuous-time Marko...
This paper presents algorithms and experimental results for model-checking continuous-time Markov ch...
This paper reports on experimental results with symbolic model checking of probabilistic processes b...
We introduce a symbolic model checking procedure for Probabilistic Computation Tree Logic PCTL over ...
Symbolic model checking for purely probabilistic processes using MTBDDs [12] was introduced in [4] a...
This tutorial presents an overview of model checking for both discrete and continuous-time Markov ch...
In this paper we present efficient symbolic techniques for probabilistic model checking. These have ...