Add to ORKGProbabilistic model checking is a widely used technique supporting the verification of properties over quantitative measures of a system, including reliability, response time, energy consumption, or operational costs. The use of probabilistic model checking requires to abstract the behavior of a system by means of suitable formal models. Markov Decision Processes (MDPs) are essentially finite state automata enhanced with nondeterministic and probabilistic transitions. Several analysis algorithms have been defined to analyze such models. However, most of these algorithms assume the probability of moving from one state to another to be defined as a numeric value. Nonetheless, due to uncertainties in both the design process and the system exec...
Probabilistic model checking – the verification of models incorporating ran-dom phenomena – has enjo...
Probability features increasingly often in software and hardware systems: it is used in distributed ...
This tutorial presents an overview of model checking for both discrete and continuous-time Markov ch...
Interval-valued discrete time Markov chains analysis Description Probabilistic model checking is a w...
Abstract. This tutorial provides an introduction to probabilistic model checking, a technique for au...
Abstract. This tutorial provides an introduction to probabilistic model checking, a technique for au...
This tutorial provides an introduction to probabilistic model checking, a technique for automaticall...
This tutorial provides an introduction to probabilistic model checking, a technique for automaticall...
Probabilistic model checking is a formal verification technique for systems that exhibit stochastic ...
This paper presents a retrospective view on probabilistic model checking. We focus on Markov decisio...
Historically, functional verification and performance evaluation have been two distinct stages in th...
Historically, functional verification and performance evaluation have been two distinct stages in th...
The Markov Decision Process (MDP) formalism is a well-known mathematical formalism to study systems ...
Random phenomena occur in many applications: security, communication protocols, distributed algorith...
State-space reduction for probabilistic model checking Description Model-checking is a popular verif...
Probabilistic model checking – the verification of models incorporating ran-dom phenomena – has enjo...
Probability features increasingly often in software and hardware systems: it is used in distributed ...
This tutorial presents an overview of model checking for both discrete and continuous-time Markov ch...
Interval-valued discrete time Markov chains analysis Description Probabilistic model checking is a w...
Abstract. This tutorial provides an introduction to probabilistic model checking, a technique for au...
Abstract. This tutorial provides an introduction to probabilistic model checking, a technique for au...
This tutorial provides an introduction to probabilistic model checking, a technique for automaticall...
This tutorial provides an introduction to probabilistic model checking, a technique for automaticall...
Probabilistic model checking is a formal verification technique for systems that exhibit stochastic ...
This paper presents a retrospective view on probabilistic model checking. We focus on Markov decisio...
Historically, functional verification and performance evaluation have been two distinct stages in th...
Historically, functional verification and performance evaluation have been two distinct stages in th...
The Markov Decision Process (MDP) formalism is a well-known mathematical formalism to study systems ...
Random phenomena occur in many applications: security, communication protocols, distributed algorith...
State-space reduction for probabilistic model checking Description Model-checking is a popular verif...
Probabilistic model checking – the verification of models incorporating ran-dom phenomena – has enjo...
Probability features increasingly often in software and hardware systems: it is used in distributed ...
This tutorial presents an overview of model checking for both discrete and continuous-time Markov ch...