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Theoretical Computer Science
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Theoretical Computer Science
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A generic framework for heap and value analyses of object-oriented programming languages

descriptionPublicationkeyboard_double_arrow_right Article 01 Jun 2016 English Publisher:Elsevier BVJournal:Theoretical Computer Science, volume 631, pages 43-72 (issn: 0304-3975, Copyright policy )
Authors: Pietro Ferrara 0001;

doi: 10.1016/j.tcs.2016.04.001

A generic framework for heap and value analyses of object-oriented programming languages

Abstract

This paper introduces a generic framework for heap and value analyses of strongly typed object-oriented programming languages. The author presents the formalization of a sound generic analysis which allows the combination of various heap and value abstractions automatically for these programming languages. The appendices report the complete proofs of the theoretical results presented in the paper.

Keywords

standard pointer analysis, Other programming paradigms (object-oriented, sequential, concurrent, automatic, etc.), Specification and verification (program logics, model checking, etc.), Mathematical aspects of software engineering (specification, verification, metrics, requirements, etc.), Theory of programming languages, heap analysis, generic analyzers, static analysis, value analysis, 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!
5
Top 10%
Average
Average
hybrid