QuickChecking Convergence of Rewriting Systems (Functional Pearl)

Term rewriting systems are a common tool in automated reasoning and semantics of programming languages, and many practical applications require these systems to be convergent. While automated tools and theory exist to establish convergence, this paper is concerned with a practical method for testing it to quickly find useful counterexamples. Standard property-based testing approaches struggle here: exhaustively computing all normal forms is fundamentally flawed and too slow, while generating random normal forms makes counterexample minimization (shrinking) fragile due to dependencies on earlier generated test data. To solve this, we introduce a QuickCheck testing method based on generating and shrinking random execution traces. By checking if the first and last terms of a generated trace share the same deterministic normal form, we remove the data dependency between generators. This approach yields a property that efficiently finds counterexamples and enables fast, robust shrinking. We demonstrate the effectiveness of this method on various examples, ranging from group theory equations to distributed process calculus.

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Publication Details

Journal
Proceedings of the ACM on Programming Languages
Published
2026-08-17
DOI
https://doi.org/10.1145/3828678
Primary Topic
Logic, programming, and type systems
Type
article
Field-Weighted Citation Impact
0.00
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article

QuickChecking Convergence of Rewriting Systems (Functional Pearl)

Koen Claessen
Proceedings of the ACM on Programming Languages
Logic, programming, and type systems
article

QuickChecking Convergence of Rewriting Systems (Functional Pearl)

Koen Claessen
article en

Abstract

Term rewriting systems are a common tool in automated reasoning and semantics of programming languages, and many practical applications require these systems to be convergent. While automated tools and theory exist to establish convergence, this paper is concerned with a practical method for testing it to quickly find useful counterexamples. Standard property-based testing approaches struggle here: exhaustively computing all normal forms is fundamentally flawed and too slow, while generating random normal forms makes counterexample minimization (shrinking) fragile due to dependencies on earlier generated test data. To solve this, we introduce a QuickCheck testing method based on generating and shrinking random execution traces. By checking if the first and last terms of a generated trace share the same deterministic normal form, we remove the data dependency between generators. This approach yields a property that efficiently finds counterexamples and enables fast, robust shrinking. We demonstrate the effectiveness of this method on various examples, ranging from group theory equations to distributed process calculus.

Proceedings of the ACM on Programming LanguagesVol. 10(ICFP)
Chalmers University of Technology (SE), University of Gothenburg (SE)
Openalex Percentile: Top 7%
Logic, programming, and type systems
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