改写规则的语义转换框架

Jihee Park, Jaemin Hong, Sukyoung Ryu
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引用次数: 0

摘要

保持语义的源到源程序转换,例如优化和重构,对于软件开发是必不可少的。这种转换通常是通过重写规则来定义的,这些规则描述了程序的哪个部分必须用哪个子程序替换。设计转换的主要障碍是证明其语义保持性。重写基于规则的框架通过提供证明指南或自动化证明来缓解这一困难。不幸的是,由于语义保存的固定定义,每个框架都适用于一组有限的转换。Cousot和Cousot的语义转换框架解决了这个问题,它为用户留下了一个空间来定义适当的语义保存属性。然而,该框架没有充分利用规则可重写的特性,无法简化证明过程。在这项工作中,我们定义了一个语义转换框架,通过改进Cousot和Cousot的框架来改写规则。我们的框架通过提供语法导向的指导方针和简化证明的定理来促进模块化证明。我们通过证明六个众所周知的转换的语义保持来展示我们框架的多功能性。
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Semantic Transformation Framework for Rewriting Rules
Semantics-preserving source-to-source program transformations, such as optimization and refactoring, are essential for software development. Such transformations are often defined by rewriting rules describing which part of a program must be replaced with which subprogram. The main obstacle to designing a transformation is to prove its semantics preservation. Rewriting-rule-based frameworks alleviate this difficulty by giving proof guidelines or automating the proofs. Unfortunately, each framework is applicable to a restricted set of transformations due to a fixed definition of semantics preservation. Cousot and Cousot’s semantic transformation framework resolves this problem by leaving a space for its users to define a proper semantics preservation property. However, the framework does not exploit the characteristic of rewriting rules and fails to ease the proofs. In this work, we define a semantic transformation framework tailored to rewriting rules by refining Cousot and Cousot’s framework. Our framework facilitates modular proofs by providing syntax-directed guidelines and theorems that simplify proofs. We show the versatility of our framework by proving the semantics preservation of six well-known transformations.
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