We present the probabilistic model checker Storm. Storm supports the analysis of discrete-
and continuous-time variants of both Markov chains and Markov decision processes. Storm …

Abstract Evaluation of scientific contributions can be done in many different ways. For the
various research communities working on the verification of systems (software, hardware, or …

We present an extensive collection of quantitative models to facilitate the development,
comparison, and benchmarking of new verification algorithms and tools. All models have a …

Markov decision processes are widely used for planning and verification in settings that
combine controllable or adversarial choices with probabilistic behaviour. The standard …

The rapid advance of deep reinforcement learning techniques enables the oversight of
safety-critical systems through the utilization of Deep Neural Networks (DNNs). This …

Quantitative verification tools compute probabilities, expected rewards, or steady-state
values for formal models of stochastic and timed systems. Exact results often cannot be …

This paper presents PAYNT, a tool to automatically synthesise probabilistic programs.
PAYNT enables the synthesis of finite-state probabilistic programs from a program sketch …

Statistical model checking avoids the state space explosion problem in verification and
naturally supports complex non-Markovian formalisms. Yet as a simulation-based approach …

The analysis of formal models that include quantitative aspects such as timing or
probabilistic choices is performed by quantitative verification tools. Broad and mature tool …

The classical problem of reachability in simple stochastic games is typically solved by value
iteration (VI), which produces a sequence of under-approxima-tions of the value of the …