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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2009 . Peer-reviewed
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Article . 2011
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Article . 2011 . Peer-reviewed
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Article . 2011
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Observational Completeness on Abstract Interpretation

Observational completeness on abstract interpretation
Authors: AMATO, Gianluca; SCOZZARI, Francesca;

Observational Completeness on Abstract Interpretation

Abstract

In the theory of abstract interpretation, a domain is complete when abstract computations are as precise as concrete computations. In addition to the standard notion of completeness, we introduce the concept of observational completeness. A domain is observationally complete for an observable π when abstract computations are as precise as concrete computations, if we only look at properties in π. We prove that continuity of state-transition functions ensures the existence of the least observationally complete domain and we provide a constructive characterization. We study the relationship between the least observationally complete domain and the complete shell. We provide sufficient conditions under which they coincide, and show several examples where they differ, included a detailed analysis of cellular automata.

Country
Italy
Related Organizations
Keywords

static analysis, completeness, abstract interpretation; completeness; cellular automata, cellular automata, Semantics in the theory of computing, abstract interpretation

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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!
7
Average
Average
Average
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