The role of linearity in sharing analysis

Author:

Amato GianlucaORCID,Meo Maria Chiara,Scozzari FrancescaORCID

Abstract

AbstractSharing analysis is used to statically discover data structures which may overlap in object-oriented programs. Using the abstract interpretation framework, we show that sharing analysis greatly benefits from linearity information. A variable is linear in a program state when different field paths starting from it always reach different objects. We propose a graph-based abstract domain which can represent aliasing, linearity, and sharing information and define all the necessary abstract operators for the analysis of a Java-like language.

Publisher

Cambridge University Press (CUP)

Subject

Computer Science Applications,Mathematics (miscellaneous)

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Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On the Need for a Common API for Abstract Domains of Object-Oriented Programs;Proceedings of the 24th ACM International Workshop on Formal Techniques for Java-like Programs;2022-06-07

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