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Part of book or chapter of book . 2005 . Peer-reviewed
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An MTBDD-Based Implementation of Forward Reachability for Probabilistic Timed Automata

Authors: Fuzhi Wang; Marta Z. Kwiatkowska;

An MTBDD-Based Implementation of Forward Reachability for Probabilistic Timed Automata

Abstract

Multi-Terminal Binary Decision Diagrams (MTBDDs) have been successfully applied in symbolic model checking of probabilistic systems. In this paper we propose an encoding method for Probabilistic Timed Automata (PTA) based on MTBDDs. The timing information is encoded via placeholders stored in the MTBDDs that are independent of how the timing information is represented. Using the Colorado University Decision Diagrams (CUDD) package, an experimental model checker is implemented, which supports probabilistic reachability model checking via the forward algorithm. We use Difference Bound Matrices (DBMs) and Difference Decision Diagrams (DDDs) for representing timing information and present experimental results on three case studies. Our key contribution is a general placeholder encoding method for Probabilistic Timed Automata and an experimental MTBDD-based model checker which has been partly integrated with PRISM. This is the first symbolic implementation of the forward probabilistic reachability algorithm.

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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.
BIP!Impulse provided by BIP!
2
Average
Average
Average