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Proceedings of the ACM on Programming Languages
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
DBLP
Article . 2025
Data sources: DBLP
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The Best of Abstract Interpretations

Authors: Roberto Giacobazzi; Francesco Ranzato;

The Best of Abstract Interpretations

Abstract

We study “ the best of abstract interpretations ”, that is, the best possible abstract interpretations of programs. Abstract interpretations are inductively defined by composing abstract transfer functions for the basic commands, such as assignments and Boolean guards. However, abstract interpretation is not compositional: even if the abstract transfer functions of the basic commands are the best possible ones on a given abstract domain A this does not imply that the whole inductive abstract interpretation of a program p is still the best in A . When this happens we are in the optimal scenario where the abstract interpretation of p coincides with the abstraction of the concrete interpretation of p . Our main contributions are threefold. Firstly, we investigate the computability properties of the class of programs having the best possible abstract interpretation on a fixed abstract domain A . We show that this class is, in general, not straightforward and not recursive. Secondly, we prove the impossibility of achieving the best possible abstract interpretation of any program p either by an effective compilation of p or by minimally refining or simplifying the abstract domain A . These results show that the program property of having the best possible abstract interpretation is not trivial and, in general, hard to achieve. We then show how to prove that the abstract interpretation of a program is indeed the best possible one. To this aim, we put forward a program logic parameterized on an abstract domain A which infers triples p r e ] A p p o s t ] A . These triples encode that the inductive abstract interpretation of p on A with abstract input p r e ∈ A gives p o s t ∈ A as abstract output and this is the best possible in A .

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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!
1
Average
Average
Average
Published in a Diamond OA journal