Towards Spatial Complexity Measures for Comprehension of Java Programs

J. Chhabra, Varan Gupta
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引用次数: 5

Abstract

The software comprehension is an important activity that influences a variety of software engineering tasks. Software comprehension is required when a software engineer maintains, reuses, and reengineers software systems. In order to understand a program, we need to look at human factors involved in the comprehension process. Program comprehension is a complex cognitive skill, which requires understanding of spatial orientations of the program entities. These spatial orientations of the program entities give rise to the spatial complexity of program. Various spatial complexity measures have been proposed to characterize the difficulty of understanding programs. This paper tries to extend these measures especially for the comprehension of Java programs. This paper identifies two spatial complexity measures for Java programs, which are based on classes and objects. The proposed measures have been applied to 10 different software projects developed using Java and the results obtained, have been used to draw a number of conclusions.
面向Java程序理解的空间复杂性度量
软件理解是影响各种软件工程任务的一项重要活动。当软件工程师维护、重用和重新设计软件系统时,需要软件理解能力。为了理解一个程序,我们需要研究理解过程中涉及的人为因素。程序理解是一种复杂的认知技能,它需要理解程序实体的空间方向。程序实体的这些空间方向产生了程序的空间复杂性。已经提出了各种空间复杂性度量来描述理解程序的难度。本文试图扩展这些方法,特别是对Java程序的理解。本文确定了基于类和对象的两种Java程序空间复杂性度量方法。建议的措施已应用于使用Java开发的10个不同的软件项目,所获得的结果已被用于得出一些结论。
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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