大型程序高效数据流分析的实现技术

Darren C. Atkinson, W. Griswold
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引用次数: 48

摘要

许多软件工程工具,如程序切片器,必须执行数据流分析,以便从程序源中提取必要的信息。这些工具通常从优化编译器那里借用了很多实现。然而,由于期望这些工具分析整个程序,而不是孤立地分析功能,因此数据流分析的时间和空间性能是主要关注的问题。我们提出的技术减少了执行大型程序的数据流分析所需的时间和空间。我们已经使用这些技术为C程序实现了一个高效的程序切片工具,并计算了超过100,000行代码的程序切片。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation techniques for efficient data-flow analysis of large programs
Many software engineering tools such as program slicers must perform data-flow analysis in order to extract necessary information from the program source. These tools typically borrow much of their implementation from optimizing compilers. However, since these tools are expected to analyze programs in their entirety, rather than functions in isolation, the time and space performance of the dataflow analyses are of major concern. We present techniques that reduce the time and space required to perform dataflow analysis of large programs. We have used these techniques to implement an efficient program slicing tool for C programs and have computed slices of programs with more than 100,000 lines of code.
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