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Hybrid top-down and bottom-up interprocedural analysis

Abstract:
Interprocedural static analyses are broadly classified into top-down and bottom-up, depending upon how they compute, instantiate, and reuse procedure summaries. Both kinds of analyses are challenging to scale: top-down analyses are hindered by ineffective reuse of summaries whereas bottom-up analyses are hindered by inefficient computation and instantiation of summaries. This paper presents a hybrid approach SWIFT that combines top-down and bottomup analyses in a manner that gains their benefits without suffering their drawbacks. SWIFT is general in that it is parametrized by the top-down and bottom-up analyses it combines. We show an instantiation of SWIFT on a type-state analysis and evaluate it on a suite of 12 Java programs of size 60-250 KLOC each. SWIFT outperforms both conventional approaches, finishing on all the programs while both of those approaches fail on the larger programs
Publication status:
Published
Peer review status:
Reviewed (other)

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Publisher copy:
10.1145/2594291.2594328

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author


Publisher:
Association for Computing Machinery
Host title:
Proceedings of the 35th ACM SIGPLAN Conference on Programming Language Design and Implementation
Journal:
Proceedings of the 35th ACM SIGPLAN Conference on Programming Language Design and Implementation More from this journal
Pages:
249-258
Publication date:
2014-09-06
Acceptance date:
2014-02-05
DOI:
ISBN:
9781450327848


Pubs id:
pubs:581045
UUID:
uuid:f18f2f41-72b7-4947-b467-ba1f9f262353
Local pid:
pubs:581045
Source identifiers:
581045
Deposit date:
2016-01-03
ARK identifier:

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