Deriving Law-Abiding Instances

August 07, 2017 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Ryan Scott, Vikraman Choudhury, Ryan Newton, Niki Vazou, Ranjit Jhala arXiv ID 1708.02328 Category cs.PL: Programming Languages Cross-listed cs.LO Citations 0 Venue arXiv.org Last Checked 4 months ago
Abstract
Liquid Haskell's refinement-reflection feature augments the Haskell language with theorem proving capabilities, allowing programmers to retrofit their existing code with proofs. But many of these proofs require routine, boilerplate code that is tedious to write. Moreover, many such proofs do not scale well, as the size of proof terms can grow superlinearly with the size of the datatypes involved in the proofs. We present a technique for programming with refinement reflection which solves this problem by leveraging datatype-generic programming. Our observation is that we can take any algebraic datatype, generate an equivalent representation type, and have Liquid Haskell automatically construct (and prove) an isomorphism between the original type and the representation type. This reduces many proofs down to easy theorems over simple algebraic "building block" types, allowing programmers to write generic proofs cheaply and cheerfully.
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