Quantitative Multi-objective Verification for Probabilistic Systems.

We present a verification framework for analysing multiple quantitative objectives of systems that exhibit both nondeterministic and stochastic behaviour. These systems are modelled as probabilistic automata, enriched with cost or reward structures that capture, for example, energy usage or performa...

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Main Authors: Forejt, V, Kwiatkowska, M, Norman, G, Parker, D, Qu, H
Other Authors: Abdulla, P
Format: Journal article
Language:English
Published: Springer 2011
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author Forejt, V
Kwiatkowska, M
Norman, G
Parker, D
Qu, H
author2 Abdulla, P
author_facet Abdulla, P
Forejt, V
Kwiatkowska, M
Norman, G
Parker, D
Qu, H
author_sort Forejt, V
collection OXFORD
description We present a verification framework for analysing multiple quantitative objectives of systems that exhibit both nondeterministic and stochastic behaviour. These systems are modelled as probabilistic automata, enriched with cost or reward structures that capture, for example, energy usage or performance metrics. Quantitative properties of these models are expressed in a specification language that incorporates probabilistic safety and liveness properties, expected total cost or reward, and supports multiple objectives of these types. We propose and implement an efficient verification framework for such properties and then present two distinct applications of it: firstly, controller synthesis subject to multiple quantitative objectives; and, secondly, quantitative compositional verification. The practical applicability of both approaches is illustrated with experimental results from several large case studies. © 2011 Springer-Verlag.
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spelling oxford-uuid:19c1bcc0-15ef-40cb-8c84-ddd13388cd142022-03-26T10:50:51ZQuantitative Multi-objective Verification for Probabilistic Systems.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:19c1bcc0-15ef-40cb-8c84-ddd13388cd14EnglishSymplectic Elements at OxfordSpringer2011Forejt, VKwiatkowska, MNorman, GParker, DQu, HAbdulla, PLeino, KWe present a verification framework for analysing multiple quantitative objectives of systems that exhibit both nondeterministic and stochastic behaviour. These systems are modelled as probabilistic automata, enriched with cost or reward structures that capture, for example, energy usage or performance metrics. Quantitative properties of these models are expressed in a specification language that incorporates probabilistic safety and liveness properties, expected total cost or reward, and supports multiple objectives of these types. We propose and implement an efficient verification framework for such properties and then present two distinct applications of it: firstly, controller synthesis subject to multiple quantitative objectives; and, secondly, quantitative compositional verification. The practical applicability of both approaches is illustrated with experimental results from several large case studies. © 2011 Springer-Verlag.
spellingShingle Forejt, V
Kwiatkowska, M
Norman, G
Parker, D
Qu, H
Quantitative Multi-objective Verification for Probabilistic Systems.
title Quantitative Multi-objective Verification for Probabilistic Systems.
title_full Quantitative Multi-objective Verification for Probabilistic Systems.
title_fullStr Quantitative Multi-objective Verification for Probabilistic Systems.
title_full_unstemmed Quantitative Multi-objective Verification for Probabilistic Systems.
title_short Quantitative Multi-objective Verification for Probabilistic Systems.
title_sort quantitative multi objective verification for probabilistic systems
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AT kwiatkowskam quantitativemultiobjectiveverificationforprobabilisticsystems
AT normang quantitativemultiobjectiveverificationforprobabilisticsystems
AT parkerd quantitativemultiobjectiveverificationforprobabilisticsystems
AT quh quantitativemultiobjectiveverificationforprobabilisticsystems