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Theoretical Computer Science
Article
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Theoretical Computer Science
Article . 1984
License: Elsevier Non-Commercial
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CNR ExploRA
Article . 1984
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Theoretical Computer Science
Article . 1984 . Peer-reviewed
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Article . 1984
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addClaim

Testing equivalences for processes

Authors: De Nicola, Rocco; Hennessy, Matthew;

Testing equivalences for processes

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Country
Italy
Keywords

Processes, QA75 Electronic computers. Computer science, Semantics in the theory of computing, Testing equivalences, Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.), Equivalences, Theoretical Computer Science, Computer Science(all)

  • 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).
    815
    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 10%
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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!
815
Top 1%
Top 0.01%
Top 10%
hybrid