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 …

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

Quantitative formal models capture probabilistic behaviour, real-time aspects, or general
continuous dynamics. A number of tools support their automatic analysis with respect to …

We consider the verification of multiple expected reward objectives at once on Markov
decision processes (MDPs). This enables a trade-off analysis among multiple objectives by …

We provide a memory-efficient algorithm for multi-objective model checking problems on
Markov decision processes (MDPs) with multiple cost structures. The key problem at hand is …

We study turn-based stochastic zero-sum games with lexicographic preferences over
reachability and safety objectives. Stochastic games are standard models in control …

We present a new approach for synthesising Paretooptimal Markov decision process (MDP)
policies that satisfy complex combinations of quality-of-service (QoS) software requirements …

This paper presents an efficient procedure for multi-objective model checking of long-run
average reward (aka: mean pay-off) and total reward objectives as well as their combination …

The window mechanism was introduced by Chatterjee et al. to strengthen classical game
objectives with time bounds. It permits to synthesize system controllers that exhibit …

We present a method to find an optimal policy with respect to a reward function for a
discounted Markov decision process under general linear temporal logic (LTL) …