Automated static data flow analysis

Ishwari Aghav, Vishal Tathe, Aashay Zajriya, M. Emmanuel
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引用次数: 1

Abstract

Abstract Syntax Trees (AST) are useful to understand program semantics. Data flow analysis of interests to program developers. In this paper we use effectively AST to reveal data flow information. Computer programs larger part in static form is declaration of data. Analyzing data dependency helps to design and development of source programs. We consider data flow analysis with more importance and focus in the design and implementation of method. We propose an utility that lists the data dependency in static source code by analyzing data flow. Data flow analysis is used to improve the process of software development as it helps in analyzing the existing code and in developing new program by modifying or extracting modules. In the implementation we have used open source compiler LLVM with Clang as its front end to interpret C/C++ code.
自动静态数据流分析
抽象语法树(AST)对于理解程序语义非常有用。对程序开发人员感兴趣的数据流分析。在本文中,我们有效地使用AST来揭示数据流信息。计算机程序大部分是以静态形式声明数据的。分析数据依赖性有助于源程序的设计和开发。在方法的设计和实现中,我们更加重视和关注数据流分析。我们提出了一个实用程序,通过分析数据流来列出静态源代码中的数据依赖关系。数据流分析有助于分析现有代码,并通过修改或提取模块来开发新程序,从而改进软件开发过程。在实现中,我们使用了开源编译器LLVM, Clang作为其前端来解释C/ c++代码。
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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