How to make ad hoc proof automation less ad hoc

Author:

GONTHIER GEORGES,ZILIANI BETA,NANEVSKI ALEKSANDAR,DREYER DEREK

Abstract

AbstractMost interactive theorem provers provide support for some form of user-customizable proof automation. In a number of popular systems, such as Coq and Isabelle, this automation is achieved primarily through tactics, which are programmed in a separate language from that of the prover's base logic. While tactics are clearly useful in practice, they can be difficult to maintain and compose because, unlike lemmas, their behavior cannot be specified within the expressive type system of the prover itself.We propose a novel approach to proof automation in Coq that allows the user to specify the behavior of custom automated routines in terms of Coq's own type system. Our approach involves a sophisticated application of Coq's canonical structures, which generalize Haskell type classes and facilitate a flexible style of dependently-typed logic programming. Specifically, just as Haskell type classes are used to infer the canonical implementation of an overloaded term at a given type, canonical structures can be used to infer the canonical proof of an overloaded lemma for a given instantiation of its parameters. We present a series of design patterns for canonical structure programming that enable one to carefully and predictably coax Coq's type inference engine into triggering the execution of user-supplied algorithms during unification, and we illustrate these patterns through several realistic examples drawn from Hoare Type Theory. We assume no prior knowledge of Coq and describe the relevant aspects of Coq type inference from first principles.

Publisher

Cambridge University Press (CUP)

Subject

Software

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. CoqQ: Foundational Verification of Quantum Programs;Proceedings of the ACM on Programming Languages;2023-01-09

2. Experimenting with an Intrinsically-Typed Probabilistic Programming Language in Coq;Programming Languages and Systems;2023

3. Validating Mathematical Structures;Automated Reasoning;2020

4. Reification by Parametricity;Interactive Theorem Proving;2018

5. Reproducibility in Research: Systems, Infrastructure, Culture;Journal of Open Research Software;2017-11-09

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