Formulog: Datalog for SMT-Based Static Analysis (Extended Version)
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 17 Sep 2020.
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- 2021Defeasible Reasoning via Datalog^negcited by 0
- 2021Defeasible Reasoning via Datalog^neg21 Jun 2021