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Article . 2016
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Article . 1984 . Peer-reviewed
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https://dx.doi.org/10.1145/828...
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A Theory of Communicating Sequential Processes

A theory of communicating sequential processes
descriptionPublicationkeyboard_double_arrow_right Article 26 Jun 1984 United Kingdom English Publisher:Association for Computing Machinery (ACM)Journal:Journal of the ACM, volume 31, pages 560-599 (issn: 0004-5411, eissn: 1557-735X, Copyright policy )
Authors: Brookes, S; Hoare, C; Roscoe, A;

doi: 10.1145/828.833

A Theory of Communicating Sequential Processes

Abstract

A mathematical model for communicating sequential processes is given, and a number of its interesting and useful properties are stated and proved. The possibilities of nondetermimsm are fully taken into account.

Country
United Kingdom
Related Organizations
Keywords

safety, nondeterminism, parallelism, liveness, synchrony, asynchrony, deadlock, Theory of operating systems

  • BIP!
    Impact byBIP!
    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).
    		 777
    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.
    		 Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 0.01%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 1%
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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!
777
Top 1%
Top 0.01%
Top 1%
Green
bronze
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