A Pragmatic Approach to Stateful Partial Order Reduction

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

Abstract

Partial order reduction (POR) is a classic technique for dealing with the state explosion problem in model checking of concurrent programs. Theoretical optimality, i.e., avoiding enumerating equivalent interleavings, does not necessarily guarantee optimal overall performance of the model checking algorithm. The computational overhead required to guarantee optimality may by far cancel out any benefits that an algorithm may have from exploring a smaller state space of interleavings. With a focus on overall performance, we propose new algorithms for stateful POR based on the recently proposed source sets, which are less precise but more efficient than the state of the art in practice. We evaluate efficiency using an implementation that extends Java Pathfinder in the context of verifying concurrent data structures.

Original languageEnglish
Title of host publicationVerification, Model Checking, and Abstract Interpretation - 24th International Conference, VMCAI 2023, Proceedings
EditorsCezara Dragoi, Michael Emmi, Jingbo Wang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages129-154
Number of pages26
ISBN (Print)9783031249495
DOIs
Publication statusPublished - 1 Jan 2023
Event24th International Conference on Verification, Model Checking, and Abstract Interpretation, VMCAI 2023 - Boston, United States
Duration: 16 Jan 202317 Jan 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13881 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference24th International Conference on Verification, Model Checking, and Abstract Interpretation, VMCAI 2023
Country/TerritoryUnited States
CityBoston
Period16/01/2317/01/23

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