Abstract. We develop an algorithm to compute timed reachability pro-babilities for distributed models which are both probabilistic and non-deterministic. To obtain realistic results we consider the recently intro-duced 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
We consider models of programs that incorporate probability, dense real-time and data. We present a ...
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...
Abstract. We develop an algorithm to compute timed reachability pro-babilities for distributed model...
ATRs (AVACS Technical Reports) are freely downloadable from www.avacs.org Copyright c © June 2010 by...
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...
We show that the problem of reaching a state set with probability 1 in probabilisticnondeterministic...
This paper proposes a technique to synthesize parametric rate values in continuous-time Markov chain...
Probabilistic model checking computes the probability values of a given property quantifying over al...
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...
AbstractWe consider models of programs that incorporate probability, dense real-time and data. We pr...
We consider models of programs that incorporate probability, dense real-time and data. We present a ...
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...
Abstract. We develop an algorithm to compute timed reachability pro-babilities for distributed model...
ATRs (AVACS Technical Reports) are freely downloadable from www.avacs.org Copyright c © June 2010 by...
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...
We show that the problem of reaching a state set with probability 1 in probabilisticnondeterministic...
This paper proposes a technique to synthesize parametric rate values in continuous-time Markov chain...
Probabilistic model checking computes the probability values of a given property quantifying over al...
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...
AbstractWe consider models of programs that incorporate probability, dense real-time and data. We pr...
We consider models of programs that incorporate probability, dense real-time and data. We present a ...
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...