Nothing Special   »   [go: up one dir, main page]
Skip to main content
We gratefully acknowledge support from the Simons Foundation, member institutions, and all contributors. Donate
arXiv logo
Cornell University Logo

Computer Science > Logic in Computer Science

arXiv:1011.6438v1 (cs)
[Submitted on 30 Nov 2010]

Title:Process Behaviour: Formulae vs. Tests (Extended Abstract)

Authors:Andrea Cerone (Department of Computer Science, Trinity College Dublin), Matthew Hennessy (Department of Computer Science, Trinity College Dublin)
View PDF
Abstract:Process behaviour is often defined either in terms of the tests they satisfy, or in terms of the logical properties they enjoy. Here we compare these two approaches, using extensional testing in the style of DeNicola, Hennessy, and a recursive version of the property logic HML. We first characterise subsets of this property logic which can be captured by tests. Then we show that those subsets of the property logic capture precisely the power of tests.
Comments: In Proceedings EXPRESS'10, arXiv:1011.6012
Subjects: Logic in Computer Science (cs.LO)
Cite as: arXiv:1011.6438 [cs.LO]
  (or arXiv:1011.6438v1 [cs.LO] for this version)
  https://doi.org/10.48550/arXiv.1011.6438
Journal reference: EPTCS 41, 2010, pp. 31-45
Related DOI: https://doi.org/10.4204/EPTCS.41.3

Submission history

From: EPTCS [view email] [via EPTCS proxy]
[v1] Tue, 30 Nov 2010 01:39:19 UTC (37 KB)
Full-text links:

Access Paper:

  • View PDF
  • TeX Source
  • Other Formats
view license
Current browse context:
cs.LO
< prev   |   next >
new | recent | 2010-11
Change to browse by:
cs

References & Citations

DBLP - CS Bibliography

listing | bibtex
Andrea Cerone
Matthew Hennessy
export BibTeX citation

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)