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An empirical study of control dependency and data dependency for large software systems

机译:大型软件系统的控制相关性和数据相关性的实证研究

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Empirical study of control dependency and data dependency means that after applying various observations and techniques for large software as well as small programs we analyze that data dependency is more suitable for large software systems and control dependency is more suitable for small programs. For small programs with a few lines of code, static slicing gives the well output and provide optimum solution for a given problem. In this paper, we share our experiences for the working of the program static slicing and traverse the program through control dependency and data dependency. Control dependency and data dependency are best suitable for forward static slicing in program dependence graph (PDG). The main emphasis of static slicing provides the program free from various designing errors, debugging errors and retrieves the solution in more understable form.
机译:对控制依赖性和数据依赖性的经验研究意味着,在对大型软件和小型程序应用各种观察和技术之后,我们分析数据依赖性更适合大型软件系统,而控​​制依赖性更适合小型程序。对于只有几行代码的小型程序,静态切片可提供良好的输出并为给定问题提供最佳解决方案。在本文中,我们分享了程序静态切片的工作经验,并通过控件依赖性和数据依赖性遍历程序。控制依赖和数据依赖最适合程序依赖图(PDG)中的正向静态切片。静态切片的主要重点是为程序提供各种设计错误,调试错误,并以更不稳定的形式检索解决方案。

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