基于唯一优先级值的回归测试用例优化加权方法

A. Ammar, S. Baharom, A. Ghani, J. Din
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引用次数: 10

摘要

回归测试是软件测试中不可缺少的一部分,也是昂贵的一部分。为了减少它的工作量,提出了测试用例优先级的方法。大多数现有方法的问题是对具有相同权重的测试用例进行随机排序。本文提出了一种改进的加权方法,在不使用随机排序的情况下对整个测试集进行排序。此外,还进行了一项对照实验来评估所提出方法的有效性。结果显示,在对测试用例进行优先排序和记录比原始加权方法更高的APFD值方面,性能得到了改进。将来,将进行更大的实验来推广结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhanced Weighted Method for Test Case Prioritization in Regression Testing Using Unique Priority Value
Regression testing is an integral and expensive part in software testing. To reduce its effort, test case prioritization approaches were proposed. The problem with most of the existing approaches is the random ranking of test cases with equal weight. In this paper, an enhanced weighted method to prioritize the full test suite without using random ranking is presented. In addition, a controlled experiment was executed to evaluate the effectiveness of the proposed method. The results show an improved performance in terms of prioritizing test cases and recording higher APFD values over the original weighted method. In future, a larger experiment would be executed to generalize the results.
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