AbstractIn this paper, refusal testing ideas are applied to define a testing semantics for a probabilistic process algebra. A testing equivalence is defined by combining the greater discriminatory power of refusal testing and a simple treatment of the probabilistic component of processes. This testing equivalence is characterized by two fully abstract denotational semantics. The first of them is based on probabilistic refusal traces. These traces condense the set of tests that a process passes with probability greater than zero. The second one is based on a probabilistic extension of classical acceptance trees, where semantic processes can be viewed as (syntactic) normal forms.We would like to thank the anonymous referees of this paper for ...
One of the most studied extensions of testing theory to nondeterministic and probabilistic processe...
One of the most studied extensions of testing theory to nondeterministic and probabilistic processe...
One of the most studied extensions of testing theory to nondeterministic and probabilistic processes...
AbstractIn this paper we extend de Nicola and Hennessy’s testing theory to deal with probabilities. ...
AbstractIn this paper we extend de Nicola and Hennessy’s testing theory to deal with probabilities. ...
Subject matter With the rapid development of computer network and communication technology, the stud...
We develop a general testing scenario for probabilistic processes, giving rise to two theories: prob...
AbstractWe develop a general testing scenario for probabilistic processes, giving rise to two theori...
AbstractWe develop a general testing scenario for probabilistic processes, giving rise to two theori...
We develop a general testing scenario for probabilistic processes, giving rise to two theories: prob...
One of the most studied extensions of testing theory to nondeterministic and probabilistic processe...
One of the most studied extensions of testing theory to nondeterministic and probabilistic processe...
One of the most studied extensions of testing theory to nondeterministic and probabilistic processes...
One of the most studied extensions of testing theory to nondeterministic and probabilistic processes...
Abstract. One of the most studied extensions of testing theory to non-deterministic and probabilisti...
One of the most studied extensions of testing theory to nondeterministic and probabilistic processe...
One of the most studied extensions of testing theory to nondeterministic and probabilistic processe...
One of the most studied extensions of testing theory to nondeterministic and probabilistic processes...
AbstractIn this paper we extend de Nicola and Hennessy’s testing theory to deal with probabilities. ...
AbstractIn this paper we extend de Nicola and Hennessy’s testing theory to deal with probabilities. ...
Subject matter With the rapid development of computer network and communication technology, the stud...
We develop a general testing scenario for probabilistic processes, giving rise to two theories: prob...
AbstractWe develop a general testing scenario for probabilistic processes, giving rise to two theori...
AbstractWe develop a general testing scenario for probabilistic processes, giving rise to two theori...
We develop a general testing scenario for probabilistic processes, giving rise to two theories: prob...
One of the most studied extensions of testing theory to nondeterministic and probabilistic processe...
One of the most studied extensions of testing theory to nondeterministic and probabilistic processe...
One of the most studied extensions of testing theory to nondeterministic and probabilistic processes...
One of the most studied extensions of testing theory to nondeterministic and probabilistic processes...
Abstract. One of the most studied extensions of testing theory to non-deterministic and probabilisti...
One of the most studied extensions of testing theory to nondeterministic and probabilistic processe...
One of the most studied extensions of testing theory to nondeterministic and probabilistic processe...
One of the most studied extensions of testing theory to nondeterministic and probabilistic processes...