Goblint: Thread-Modular Abstract Interpretation Using Side-Effecting Constraints (Competition Contribution)

Simmo Saan, Michael Schwarz, Kalmer Apinis, Julian Erhard, Helmut Seidl, Ralf Vogler, Vesal Vojdani

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

14 Scopus citations

Abstract

Goblint is a static analysis framework for C programs specializing in data race analysis. It relies on thread-modular abstract interpretation where thread interferences are accounted for by means of flow-insensitive global invariants.

Original languageEnglish
Title of host publicationTools and Algorithms for the Construction and Analysis of Systems - 27th International Conference, TACAS 2021 Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2021
EditorsJan Friso Groote, Kim Guldstrand Larsen
PublisherSpringer Science and Business Media Deutschland GmbH
Pages438-442
Number of pages5
ISBN (Print)9783030720124
DOIs
StatePublished - 2021
Event27th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2021 Held as Part of 24th European Joint Conferences on Theory and Practice of Software, ETAPS 2021 - Virtual, Online
Duration: 27 Mar 20211 Apr 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12652 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference27th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2021 Held as Part of 24th European Joint Conferences on Theory and Practice of Software, ETAPS 2021
CityVirtual, Online
Period27/03/211/04/21

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