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2021 | OriginalPaper | Buchkapitel

Selective Context-Sensitivity for k-CFA with CFL-Reachability

verfasst von : Jingbo Lu, Dongjie He, Jingling Xue

Erschienen in: Static Analysis

Verlag: Springer International Publishing

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Abstract

k-CFA provides the most well-known context abstraction for program analysis, especially pointer analysis, for a wide range of programming languages. However, its inherent context explosion problem has hindered its applicability. To mitigate this problem, selective context-sensitivity is promising as context-sensitivity is applied only selectively to some parts of the program. This paper introduces a new approach to selective context-sensitivity for supporting k-CFA-based pointer analysis, based on CFL-reachability. Our approach can make k-CFA-based pointer analysis run significantly faster while losing little precision, based on an evaluation using a set of 11 popular Java benchmarks and applications.

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Titel: Selective Context-Sensitivity for k-CFA with CFL-Reachability
verfasst von: Jingbo Lu
Dongjie He
Jingling Xue
Verlag: Springer International Publishing
Buch: Static Analysis
Print ISBN: 978-3-030-88805-3

Electronic ISBN: 978-3-030-88806-0

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-88806-0_13

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