Abstract transformers for thread correlation analysis

Michal Segalov, Tal Lev-Ami, Roman Manevich, Ramalingam Ganesan, Mooly Sagiv

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

14 Scopus citations


We present a new technique for speeding up static analysis of (shared memory) concurrent programs. We focus on analyses that compute thread correlations: such analyses infer invariants that capture correlations between the local states of different threads (as well as the global state). Such invariants are required for verifying many natural properties of concurrent programs. Tracking correlations between different thread states, however, is very expensive. A significant factor that makes such analysis expensive is the cost of applying abstract transformers. In this paper, we introduce a technique that exploits the notion of footprints and memoization to compute individual abstract transformers more efficiently. We have implemented this technique in our concurrent shape analysis framework. We have used this implementation to prove properties of fine-grained concurrent programs with a shared, mutable, heap in the presence of an unbounded number of objects and threads. The properties we verified include memory safety, data structure invariants, partial correctness, and linearizability. Our empirical evaluation shows that our new technique reduces the analysis time significantly (e.g., by a factor of 35 in one case).

Original languageEnglish
Title of host publicationProgramming Languages and Systems - 7th Asian Symposium, APLAS 2009, Proceedings
Number of pages17
StatePublished - 28 Dec 2009
Externally publishedYes
Event7th Asian Symposium on Programming Languages and Systems, APLAS 2009 - Seoul, Korea, Republic of
Duration: 14 Dec 200916 Dec 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5904 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference7th Asian Symposium on Programming Languages and Systems, APLAS 2009
Country/TerritoryKorea, Republic of

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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