VADA:基于变换的变量相关性分析系统

M. Harman, C. Fox, R. Hierons, Lin Hu, S. Danicic, J. Wegener
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引用次数: 34

摘要

变量依赖是一个分析问题,其目的是确定一组输入变量,这些输入变量可以影响存储在一组选定的中间程序变量中的值。本文阐述了变量依赖分析问题与切片的关系,并介绍了实现变量依赖分析的VADA系统。为了涵盖C语言的全部结构和特性,采用了向核心语言的转换,因此,只需要对相对简单的核心语言进行完整的分析。这减少了依赖性分析所需的总体工作量。所使用的变换只需要保留变量的依赖关系,因此不需要传统意义上的意义保留。本文描述了这种宽松的含义如何进一步简化了该方法的转换阶段。最后,对系统的性能进行了实证研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
VADA: a transformation-based system for variable dependence analysis
Variable dependence is an analysis problem in which the aim is to determine the set of input variables that can affect the values stored in a chosen set of intermediate program variables. This paper shows the relationship between the variable dependence analysis problem and slicing and describes VADA, a system that implements variable dependence analysis. In order to cover the full range of C constructs and features, a transformation to a core language is employed Thus, the full analysis is required only for the core language, which is relatively simple. This reduces the overall effort required for dependency analysis. The transformations used need preserve only the variable dependence relation, and therefore need not be meaning preserving in the traditional sense. The paper describes how this relaxed meaning further simplifies the transformation phase of the approach. Finally, the results of an empirical study into the performance of the system are presented.
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