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RAPID PROTOTYPING OF DATA FLOW ANALYSIS ALGORITHMS USING SET ORIENTED LANGUAGE (SOL)

机译:使用面向集语言(SOL)的数据流分析算法的快速原型

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Rapid prototyping of computer algorithms as real programs is important from the viewpoint of cost-performance of software development. In this paper, we show how efficiently intraprocedural data flow analysis algorithms are prototyped as programs using the set oriented language SOL in comparison with some traditional implementation using iterative algorithms. Four important representative problems are pointed out as an important subclass in intraprocedural data flow analysis problems. They are, available expressions, reaching definitions, live variables, and very busy expressions. These problems are very similar in that almost any algorithms to solve one of these problems can be used to solve the other problems. Therefore, in this paper, we focus on "available expressions" to show the effectiveness in rapid prototyping.
机译:从软件开发的性价比来看,将计算机算法作为真实程序进行快速原型制作非常重要。在本文中,我们展示了与使用迭代算法的一些传统实现相比,如何使用面向对象的语言SOL将过程内数据流分析算法有效地原型化为程序。指出了四个重要的代表性问题,它们是过程内数据流分析问题的重要子类。它们是可用的表达式,到达的定义,活动变量和非常繁忙的表达式。这些问题非常相似,因为解决这些问题之一的几乎所有算法都可以用来解决其他问题。因此,在本文中,我们将重点放在“可用表达式”上以显示快速原型制作的有效性。

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