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16155 State Space Reduction of Linear Processes Using Control Flow Reconstruction
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van de Pol, J.C. and Timmer, M. (2009) State Space Reduction of Linear Processes Using Control Flow Reconstruction. In: ATVA 2009 - Automated Technology for Verification and Analysis. 7th International Symposium, 13 Oct - 16 Oct 2009, Macao SAR, China. pp. 54-68. Lecture Notes in Computer Science 5799. Springer Verlag. ISBN 978-3-642-04760-2

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Official URL: http://dx.doi.org/10.1007/978-3-642-04761-9_5

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Abstract

We present a new method for fighting the state space explosion of process algebraic specifications, by performing static analysis on an intermediate format: linear process equations (LPEs). Our method consists of two steps: (1) we reconstruct the LPE's control flow, detecting control flow parameters that were introduced by linearisation as well as those already encoded in the original specification; (2) we reset parameters found to be irrelevant based on data flow analysis techniques similar to traditional liveness analysis, modified to take into account the parallel nature of the specifications. Our transformation is correct with respect to strong bisimilarity, and never increases the state space. Case studies show that impressive reductions occur in practice, which could not be obtained automatically without reconstructing the control flow.

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:SYRUP: SYmbolic RedUction of Probabilistic Models
Uncontrolled Keywords:Control flow reconstruction, Dead variable analysis, Process algebra, State space reduction
ID Code:16155
Status:Published
Deposited On:16 October 2009
Refereed:Yes
International:Yes
More Information:statisticsmetis

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