深度优先搜索算法的验证框架

P. Lammich, René Neumann
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引用次数: 20

摘要

许多图算法都是基于深度优先搜索(DFS)。这些算法的形式化通常具有许多共同的思想。在本文中,我们将这些想法总结成一个伊莎贝尔/霍尔的框架。在Isabelle精化框架的基础上,我们为基于DFS算法的精化开发提供支持,从抽象算法的措辞和证明,到选择适当的实现风格(例如,递归、尾递归),再到创建使用高效数据结构的可执行算法。作为案例研究,我们验证了不同复杂性的基于DFS的算法,从简单的循环检查器,到安全属性模型检查器,再到复杂的算法,如嵌套DFS和Tarjan的SCC算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Framework for Verifying Depth-First Search Algorithms
Many graph algorithms are based on depth-first search (DFS). The formalizations of such algorithms typically share many common ideas. In this paper, we summarize these ideas into a framework in Isabelle/HOL. Building on the Isabelle Refinement Framework, we provide support for a refinement based development of DFS based algorithms, from phrasing and proving correct the abstract algorithm, over choosing an adequate implementation style (e.g., recursive, tail-recursive), to creating an executable algorithm that uses efficient data structures. As a case study, we verify DFS based algorithms of different complexity, from a simple cyclicity checker, over a safety property model checker, to complex algorithms like nested DFS and Tarjan's SCC algorithm.
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