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Formulog: Datalog for SMT-Based Static Analysis (Extended Version)

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arxiv 2009.08361 v2 pith:EZBYZCQQ submitted 2020-09-17 cs.PL

Formulog: Datalog for SMT-Based Static Analysis (Extended Version)

classification cs.PL
keywords analysesformuloglanguagesmt-basedstaticcheckingdatalogevaluation
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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    NeuroLog is a build-free neuro-symbolic pipeline that extracts facts via LLM, composes them in Datalog, filters with SMT, and synthesizes crashes to rediscover CVEs and find new memory-safety bugs in libraries like li...