Abstract. We develop an algorithm to compute timed reachability pro-babilities for distributed models which are both probabilistic and nondeterministic. To obtain realistic results we consider the recently in-troduced class of (strongly) distributed schedulers, for which no analysis techniques are known. Our algorithm is based on reformulating the nondeterministic models as parametric ones, by interpreting scheduler decisions as parameters. We then apply the PARAM tool to extract the reachability probability as a polynomial function, which we optimize using nonlinear programming
AbstractVerification of reachability properties for probabilistic systems is usually based on varian...
AbstractA continuous-time Markov decision process (CTMDP) is a generalization of a continuous-time M...
This paper presents an algorithm for cost-bounded probabilistic reachability in timed automata exten...
Abstract. We develop an algorithm to compute timed reachability pro-babilities for distributed model...
This paper proposes a technique to synthesize parametric rate values in continuous-time Markov chain...
We show that the problem of reaching a state set with probability 1 in probabilisticnondeterministic...
Probabilistic model checking computes the probability values of a given property quantifying over al...
AbstractIn this paper, we consider several subclasses of distributed schedulers and we investigate t...
In this paper, we consider several subclasses of distributed schedulers and we investigate the abili...
In this paper, we consider several subclasses of distributed schedulers and we investigate the abili...
A continuous-time Markov decision process (CTMDP) is a generalization of a continuous-time Markov ch...
Abstract. In the verification of concurrent systems involving probabil-ities, the aim is to find out...
Probabilistic model checking computes the probability values of a given property quantifying over al...
We consider models of programs that incorporate probability, dense real-time and data. We present a ...
AbstractWe consider models of programs that incorporate probability, dense real-time and data. We pr...
AbstractVerification of reachability properties for probabilistic systems is usually based on varian...
AbstractA continuous-time Markov decision process (CTMDP) is a generalization of a continuous-time M...
This paper presents an algorithm for cost-bounded probabilistic reachability in timed automata exten...
Abstract. We develop an algorithm to compute timed reachability pro-babilities for distributed model...
This paper proposes a technique to synthesize parametric rate values in continuous-time Markov chain...
We show that the problem of reaching a state set with probability 1 in probabilisticnondeterministic...
Probabilistic model checking computes the probability values of a given property quantifying over al...
AbstractIn this paper, we consider several subclasses of distributed schedulers and we investigate t...
In this paper, we consider several subclasses of distributed schedulers and we investigate the abili...
In this paper, we consider several subclasses of distributed schedulers and we investigate the abili...
A continuous-time Markov decision process (CTMDP) is a generalization of a continuous-time Markov ch...
Abstract. In the verification of concurrent systems involving probabil-ities, the aim is to find out...
Probabilistic model checking computes the probability values of a given property quantifying over al...
We consider models of programs that incorporate probability, dense real-time and data. We present a ...
AbstractWe consider models of programs that incorporate probability, dense real-time and data. We pr...
AbstractVerification of reachability properties for probabilistic systems is usually based on varian...
AbstractA continuous-time Markov decision process (CTMDP) is a generalization of a continuous-time M...
This paper presents an algorithm for cost-bounded probabilistic reachability in timed automata exten...