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Formulog: Datalog for SMT-based static analysis

Published: 13 November 2020 Publication History

Abstract

Satisfiability modulo theories (SMT) solving has become a critical part of many static analyses, including symbolic execution, refinement type checking, and model checking. We propose Formulog, a domain-specific language that makes it possible to write a range of SMT-based static analyses in a way that is both close to their formal specifications and amenable to high-level optimizations and efficient evaluation.
Formulog extends the logic programming language Datalog with a first-order functional language and mechanisms for representing and reasoning about SMT formulas; a novel type system supports the construction of expressive formulas, while ensuring that neither normal evaluation nor SMT solving goes wrong. Our case studies demonstrate that a range of SMT-based analyses can naturally and concisely be encoded in Formulog, and that — thanks to this encoding — high-level Datalog-style optimizations can be automatically and advantageously applied to these analyses.

Supplementary Material

Auxiliary Presentation Video (oopsla20main-p65-p-video.mp4)
Pre-recorded talk for "Formulog: Datalog for SMT-Based Static Analysis" by Aaron Bembenek, Michael Greenberg, and Stephen Chong, presented in the research track of OOPSLA 2020. Formulog is a domain-specific language that makes it possible to write SMT-based static analyses in a way that is close to their mathematical specifications and amenable to high-level optimizations.

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cover image Proceedings of the ACM on Programming Languages
Proceedings of the ACM on Programming Languages  Volume 4, Issue OOPSLA
November 2020
3108 pages
EISSN:2475-1421
DOI:10.1145/3436718
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This work is licensed under a Creative Commons Attribution International 4.0 License.

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Published: 13 November 2020
Published in PACMPL Volume 4, Issue OOPSLA

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