Research on Undetermined Value of First Use Based on Lattice Framework

Shan Lin, Han Wang, Yanzhong Hu
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Abstract

This paper reports on the theoretical principle and many applications of data-flow analysis. However, current developments of data flow analysis are primarily undertaken by individual problem and lead to a plethora of specific solutions. We formulate a general framework with lattice theory, which provides a single formal model for various data-flow analyses. It helps us focus on the specific details of different data flow problems. Furthermore, we take a common data flow problem detecting variables' undetermined value of first use as an instance and give a structured approach to solve these problems based on lattice framework for data-flow analysis.
基于点阵框架的首次使用未确定值研究
本文介绍了数据流分析的理论原理和许多应用。然而,目前数据流分析的发展主要是针对个别问题进行的,并导致过多的具体解决方案。我们用格理论制定了一个通用框架,它为各种数据流分析提供了一个单一的形式化模型。它帮助我们关注不同数据流问题的具体细节。在此基础上,以数据流中常见的变量首次使用未定值检测问题为例,给出了一种基于数据流分析格框架的结构化解决方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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