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18161 A linear process-algebraic format for probabilistic systems with data
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Katoen, J.P. and van de Pol, J.C. and Stoelinga, M.I.A. and Timmer, M. (2010) A linear process-algebraic format for probabilistic systems with data. In: Application of Concurrency to System Design, Tenth International Conference on, 21-25 Jun 2010, Braga, Portugal. pp. 213-222. IEEE Computer Society. ISSN 1550-4808 ISBN 978-0-7695-4066-5

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Official URL: http://dx.doi.org/10.1109/ACSD.2010.18

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Abstract

This paper presents a novel linear process algebraic format for probabilistic automata. The key ingredient is a symbolic transformation of probabilistic process algebra terms that incorporate data into this linear format while preserving strong probabilistic bisimulation. This generalises similar techniques for traditional process algebras with data, and — more importantly — treats data and data-dependent probabilistic choice in a fully symbolic manner, paving the way to the symbolic analysis of parameterised probabilistic systems.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-FMT: Formal Methods and Tools
Research Program:CTIT-DSN: Dependable Systems and Networks
Research Project:Quasimodo: Quantitative System Properties in Model-Driven-Design of Embedded Systems, SYRUP: SYmbolic RedUction of Probabilistic Models, ROCKS: RigorOus dependability analysis using model ChecKing techniques for Stochastic systems
Additional Information:See also the extended version, CTIT report TR-CTIT-10-11, http://eprints.eemcs.utwente.nl/17778/
Uncontrolled Keywords:probabilistic process algebra, linearisation, data-dependent probabilistic choice, symbolic transformation, probabilistic automata
ID Code:18161
Status:Published
Deposited On:22 July 2010
Refereed:Yes
International:Yes
More Information:statisticsmetis

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