Java PathFinder (JPF) and PRISM are the most popular model checkers for Java code and systems that exhibit random behaviour, respectively. Our tools make it possible to use JPF and PRISM together. For the first time, probabilistic properties of randomized algorithms implemented in a modern programming language can be checked. Furthermore, our tools are accompanied by a large collection of randomized algorithms that we implemented in Java. From those Java applications and with the help of our tools, we have generated the largest collection of realistic labelled (discrete time) Markov chains
Probabilistic model checking is a formal verification technique for the modelling and analysis of st...
Probabilistic model checking is a formal verification technique for systems that exhibit stochastic ...
The Java Grande Forum aims to drive improvements to the Java language and its standard libraries in ...
Java PathFinder (JPF) and PRISM are the most popular model checkers for Java code and systems that e...
Randomization is a key element in sequential and distributed computing. Reasoning about randomized a...
Random phenomena occur in many applications: security, communication protocols, distributed algorith...
Abstract—Probabilistic model checking is a powerful tech-nique for formally verifying quantitative p...
AbstractProbabilistic model checking is a formal verification technique for establishing the correct...
Java Pathfinder (JPF) is a verification and testing environment for Java that integrates model check...
The AMIDST Toolbox is an open source Java software for scalable probabilistic machine learning with ...
Probabilistic programs [6] are sequential programs, written in languages like C, Java, Scala, or ML,...
Probabilistic software analysis seeks to quantify the likelihood of reaching a target event under un...
Abstract. Monolithic finite-state probabilistic programs have been abstractly modeled by finite Mark...
There are several problem areas that must be addressed when ap-plying randomization to unit testing....
Probabilistic programming is an emerging subfield of artificial intelligence that extends traditiona...
Probabilistic model checking is a formal verification technique for the modelling and analysis of st...
Probabilistic model checking is a formal verification technique for systems that exhibit stochastic ...
The Java Grande Forum aims to drive improvements to the Java language and its standard libraries in ...
Java PathFinder (JPF) and PRISM are the most popular model checkers for Java code and systems that e...
Randomization is a key element in sequential and distributed computing. Reasoning about randomized a...
Random phenomena occur in many applications: security, communication protocols, distributed algorith...
Abstract—Probabilistic model checking is a powerful tech-nique for formally verifying quantitative p...
AbstractProbabilistic model checking is a formal verification technique for establishing the correct...
Java Pathfinder (JPF) is a verification and testing environment for Java that integrates model check...
The AMIDST Toolbox is an open source Java software for scalable probabilistic machine learning with ...
Probabilistic programs [6] are sequential programs, written in languages like C, Java, Scala, or ML,...
Probabilistic software analysis seeks to quantify the likelihood of reaching a target event under un...
Abstract. Monolithic finite-state probabilistic programs have been abstractly modeled by finite Mark...
There are several problem areas that must be addressed when ap-plying randomization to unit testing....
Probabilistic programming is an emerging subfield of artificial intelligence that extends traditiona...
Probabilistic model checking is a formal verification technique for the modelling and analysis of st...
Probabilistic model checking is a formal verification technique for systems that exhibit stochastic ...
The Java Grande Forum aims to drive improvements to the Java language and its standard libraries in ...