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https://doi.org/10.1007/bfb004...
Part of book or chapter of book . 2006 . Peer-reviewed
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Factorizing proofs in timed CSP

Authors: Jim Davies; Steve A. Schneider;

Factorizing proofs in timed CSP

Abstract

A simple notion of specification is introduced, and a complete set of inference rules given, for reasoning about real-time processes. The notation of Timed Communicating Sequential Processes is employed, and the strongest possible specification of a process is discussed. A proof of correctness of a simple protocol is given to illustrate the method of verification.

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    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.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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
Green