Modularity in lattices: A case study on the correspondence between top-down and bottom-up analysis

Ghila Castelnuovo, Mayur Naik, Noam Rinetzky*, Mooly Sagiv, Hongseok Yang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Interprocedural analyses are compositional when they compute over-approximations of procedures in a bottom-up fashion. These analyses are usually more scalable than top-down analyses, which compute a different procedure summary for every calling context. However, compositional analyses are rare in practice as it is difficult to develop them with enough precision. We establish a connection between compositional analyses and modular lattices, which require certain associativity between the lattice join and meet operations, and use it to develop a compositional version of the connection analysis by Ghiya and Hendren. Our version is slightly more conservative than the original top-down analysis in order to meet our modularity requirement.

Original languageEnglish
Title of host publicationStatic Analysis- 22nd International Symposium, SAS 2015, Proceedings
EditorsSandrine Blazy, Thomas Jensen
PublisherSpringer Verlag
Pages252-274
Number of pages23
ISBN (Print)9783662482872
DOIs
StatePublished - 2015
Event22nd International Static Analysis Symposium, SAS 2015 - Saint-Malo, France
Duration: 9 Sep 201511 Sep 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9291
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Static Analysis Symposium, SAS 2015
Country/TerritoryFrance
CitySaint-Malo
Period9/09/1511/09/15

Funding

FundersFunder number
Tel Aviv University Authentication Initiative
National Science Foundation
Directorate for Computer and Information Science and Engineering1253867
Defense Advanced Research Projects Agency8750-12-2-0020
Broadcom Foundation
European Research Council321174-VSSC
Seventh Framework Programme308830

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