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Electronic Notes in Theoretical Computer Science
Article . 2005 . Peer-reviewed
License: CC BY NC ND
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A Tool for the Syntactic Detection of Zeno-timelocks in Timed Automata

Authors: Howard Bowman; Rodolfo Gómez 0001; Li Su 0002;

A Tool for the Syntactic Detection of Zeno-timelocks in Timed Automata

Abstract

AbstractTimed automata are a very successful notation for specifying and verifying real-time systems, but timelocks can freely arise. These are counter-intuitive situations in which a specifier's description of a component automaton can inadvertently prevent time from passing beyond a certain point, possibly making the entire system stop. In particular, a zeno-timelock represents a situation where infinite computation is performed in a finite period of time. Zeno-timelocks are very hard to detect for real-time model checkers, e.g. UPPAAL and Kronos. We have developed a tool which can take an UPPAAL model as input and return a number of loops which can potentially cause zeno-timelocks. This tool implements an algorithm which refines a static verification approach introduced by Tripakis. We illustrate the use of this tool on a real-life case-study, the CSMA/CD protocol.

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Keywords

Timed Automata, Zeno-timelocks, QA76, UPPAAL, Theoretical Computer Science, Computer Science(all)

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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!
10
Top 10%
Top 10%
Average
Green
gold