Scheme Formal Verification

TLA+ bridge for Scheme verification with property-based testing

Overview

This project bridges the gap between formal specifications in TLA+ and practical Scheme implementations, enabling property-based testing and verification of functional programs.

Key Features

TLA+ to Scheme Translation

  • Automatic translation of TLA+ specifications to executable Scheme predicates
  • Support for common TLA+ operators and data structures
  • Preservation of specification semantics in generated code

Property-Based Testing Framework

  • QuickCheck-style property testing for Scheme
  • Automatic test case generation from TLA+ invariants
  • Shrinking strategies for minimal counterexamples

Verification Workflows

  • Integration with existing Scheme development tools
  • CI/CD pipeline support for continuous verification
  • Incremental verification for large codebases

Technical Approach

The system employs a multi-stage pipeline:

  1. Specification Parsing: TLA+ specifications are parsed into an intermediate representation
  2. Property Extraction: Invariants and properties are extracted and categorized
  3. Code Generation: Scheme test predicates are generated from properties
  4. Test Execution: Property-based tests are run with configurable strategies

Example Usage

;; Define a TLA+ specification
(define-tla-spec sorting-spec
  "INVARIANT Sorted(output) /\ Permutation(input, output)")

;; Link to implementation
(verify-against-spec merge-sort sorting-spec)

;; Run verification
(run-verification 'merge-sort 
  #:num-tests 1000
  #:max-size 100)

Research Impact

This work demonstrates that formal methods can be practically integrated into functional programming workflows without sacrificing development velocity. By focusing on property-based testing rather than full formal proofs, we achieve a pragmatic balance between correctness guarantees and implementation effort.

Future Work

  • Extension to concurrent and distributed systems
  • Integration with SMT solvers for stronger guarantees
  • Machine learning approaches to invariant inference
  • Support for additional specification languages

Technologies

scheme formal-methods tla+ verification