A meta level dynamic approach to visualize impact analysis for regression testing

Omid Pourgalehdari, K. Z. Zamli, Ashidi Mat, Isa
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引用次数: 1

Abstract

Fixing software bugs, extending base applications with new functionalities, as well as adapting to changing environments are among the reasons for software evolution. To facilitate such a process and to help maintainers make informed decision, there is a need to be able to estimate and determine the impacts of evolution to the overall software system. While there are already quite a number of useful tools, termed impact analysis tools, developed either as research prototypes or commercial products that addresses such issues, much of which is static based and adopts traditional text based impact reporting. To address some of these issues, we propose a new change impact analysis, called JRegres, that can dynamically generate trails for impact analysis as well as support impact visualization. JRegres serves as a research vehicle to investigate the hypothesis that suggests impact visualization is useful for supporting regression testing.
一个元水平的动态方法来可视化回归测试的影响分析
修复软件错误、用新功能扩展基础应用程序以及适应不断变化的环境是软件进化的原因之一。为了促进这样一个过程,并帮助维护者做出明智的决定,需要能够评估和确定演进对整个软件系统的影响。虽然已经有相当多的有用工具,称为影响分析工具,作为研究原型或商业产品开发,以解决这些问题,其中大部分是静态的,并采用传统的基于文本的影响报告。为了解决其中的一些问题,我们提出了一个新的变化影响分析,称为JRegres,它可以动态地为影响分析生成轨迹,并支持影响可视化。JRegres作为一种研究工具来调查假设,该假设表明影响可视化对于支持回归测试是有用的。
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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