Incremental data flow analysis in a structured program editor

F. K. Zadeck
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引用次数: 115

Abstract

For many years, the generally accepted methods for solving global data flow analysis problems (GDFAPs) have relied on the bit vector paradigm [Alle 70] [Kenn 81]. In these algorithms, the information for each variable is represented as a position in a bit vector. These vectors are propagated from node to node during the analysis of the program.This paper investigates a different paradigm for solving GDFAPs. In this strategy, the data flow solution for each variable is computed independently. A new algorithm for solving some GDFAPs is presented here. While it is expected that this algorithm will run slower in the batch compiling environment, there are conditions under which this algorithm can be expected to be superior to those in the bit vector class.
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结构化程序编辑器中的增量数据流分析
多年来,普遍接受的解决全球数据流分析问题(GDFAPs)的方法依赖于位向量范式[Alle 70] [Kenn 81]。在这些算法中,每个变量的信息表示为位向量中的位置。这些向量在程序分析期间从一个节点传播到另一个节点。本文研究了解决GDFAPs的另一种范式。在该策略中,每个变量的数据流解是独立计算的。本文提出了一种求解某些GDFAPs的新算法。虽然预计该算法在批编译环境中运行速度会较慢,但在某些条件下,可以预期该算法优于位向量类中的算法。
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