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Claim

Experiments for 'Sampling-Based Verification of CTMCs with Uncertain Rates'

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 06 May 2022 English Publisher:ZenodoFunded by:EC | MISSION
Authors: Thom Badings; Sebastian Junges; Nils Jansen; Marielle Stoelinga; Matthias Volk;

doi: 10.5281/zenodo.7104342 , 10.5281/zenodo.6523863 , 10.5281/zenodo.6523864

Experiments for 'Sampling-Based Verification of CTMCs with Uncertain Rates'

Abstract

This artifact accompanies the CAV 2022 paper with the same title. The artifact contains a docker file, which can be unzipped and then loaded with: docker load -i slurf_cav22_docker.tar Please refer to the README for more information.

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Keywords

Uncertainty, Parametric continuous-time Markov chains, Scenario optimization, Probabilistic model checking

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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