Learning graph-based heuristics for pointer analysis without handcrafting application-specific features

We present Graphick, a new technique for automatically learning graph-based heuristics for pointer analysis. Striking a balance between precision and scalability of pointer analysis requires designing good analysis heuristics. For example, because applying context sensitivity to all methods in a rea...

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Bibliographic Details

Published in:	Proceedings of ACM on programming languages Vol. 4; no. OOPSLA; pp. 1 - 30
Main Authors:	Jeon, Minseok, Lee, Myungho, Oh, Hakjoo
Format:	Journal Article
Language:	English
Published:	New York, NY, USA ACM 13.11.2020
Subjects:	Automated static analysis Formal methods Software and its engineering Software functional properties Software organization and properties Data-driven static analysis Context sensitivity Heap abstraction Machine learning for program analysis Pointer analysis
ISSN:	2475-1421, 2475-1421
Online Access:	Get full text
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