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20112026
most citedSafety Analysis for Vehicle Guidance Systems with Dynamic Fault Trees

59 citations · 458 across the 94 of their papers we have counts for

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Showing 2017Show all

8 papers · 1 filter

cs.PL2017★ 27 cited

A New Proof Rule for Almost-Sure Termination

Annabelle McIver, Carroll Morgan, Benjamin Lucien Kaminski +1

An important question for a probabilistic program is whether the probability mass of all its diverging runs is zero, that is that it terminates "almost surely". Proving that can be…

cs.LO2017★ 5 cited

Permissive Finite-State Controllers of POMDPs using Parameter Synthesis

Sebastian Junges, Nils Jansen, Ralf Wimmer +4

We study finite-state controllers (FSCs) for partially observable Markov decision processes (POMDPs) that are provably correct with respect to given specifications. The key insight…

cs.RO2017

Strategy Synthesis in POMDPs via Game-Based Abstractions

Leonore Winterer, Sebastian Junges, Ralf Wimmer +4

We study synthesis problems with constraints in partially observable Markov decision processes (POMDPs), where the objective is to compute a strategy for an agent that is guarantee…

cs.LO2017

Markov Automata with Multiple Objectives

Tim Quatmann, Sebastian Junges, Joost-Pieter Katoen

Markov automata combine non-determinism, probabilistic branching, and exponentially distributed delays. This compositional variant of continuous-time Markov decision processes is u…

cs.LO2017★ 2 cited

A Weakest Pre-Expectation Semantics for Mixed-Sign Expectations

Benjamin Lucien Kaminski, Joost-Pieter Katoen

We present a weakest-precondition-style calculus for reasoning about the expected values (pre-expectations) of \emph{mixed-sign unbounded} random variables after execution of a pro…

cs.SE2017

A storm is Coming: A Modern Probabilistic Model Checker

Christian Dehnert, Sebastian Junges, Joost-Pieter Katoen +1

We launch the new probabilistic model checker storm. It features the analysis of discrete- and continuous-time variants of both Markov chains and MDPs. It supports the PRISM and JA…

cs.LO2017★ 1 cited

Sequential Convex Programming for the Efficient Verification of Parametric MDPs

Murat Cubuktepe, Nils Jansen, Sebastian Junges +4

Multi-objective verification problems of parametric Markov decision processes under optimality criteria can be naturally expressed as nonlinear programs. We observe that many of th…

cs.PL2017★ 5 cited

Verifying Concurrent Stacks by Divergence-Sensitive Bisimulation

Xiaoxiao Yang, Joost-Pieter Katoen, Hao Wu

The verification of linearizability -- a key correctness criterion for concurrent objects -- is based on trace refinement whose checking is PSPACE-complete. This paper suggests to…