裁剪:语义导向的句法近似

D. Ghica, Adam Bakewell
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引用次数: 7

摘要

在本文中,我们介绍了“裁剪”,这是一种新的语法近似方法,它是由给定编程语言的可靠且可确定的指示模型所激发并与之相结合的。与切片一样,裁剪可以减少源代码的大小,为自动验证做准备;但与切片不同,它是一种不精确但计算成本低廉的算法,不需要对整个程序进行分析。裁剪技术可以构建成一个迭代的细化周期,任意提高其精度。我们首先通过一些例子直观地呈现这个简单的想法,然后在类似algol的编程语言的情况下找出技术细节,并根据Hankin和Malacaria的“松弛函子”方法得出其游戏语义模型的可确定近似。最后,我们提出了一个基于这些思想的实验模型检验工具和一些玩具程序。
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Clipping: A Semantics-Directed Syntactic Approximation
In this paper we introduce ``clipping,'' a new method of syntactic approximation which is motivated by and works in conjunction with a sound and decidable denotational model for a given programming language. Like slicing, clipping reduces the size of the source code in preparation for automatic verification; but unlike slicing it is an imprecise but computationally inexpensive algorithm which does not require a whole-program analysis. The technique of clipping can be framed into an iterated refinement cycle to arbitrarily improve its precision. We first present this rather simple idea intuitively with some examples, then work out the technical details in the case of an Algol-like programming language and a decidable approximation of its game-semantic model inspired by Hankin and Malacaria's ``lax functor'' approach. We conclude by presenting an experimental model checking tool based on these ideas and some toy programs.
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