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文章基本信息

  • 标题:Test Case Reduction Using Data Mining Classifier Techniques
  • 本地全文:下载
  • 作者:Ahmad A. Saifan
  • 期刊名称:Journal of Software
  • 印刷版ISSN:1796-217X
  • 出版年度:2016
  • 卷号:11
  • 期号:7
  • 页码:656-663
  • DOI:10.17706/jsw.11.7.656-663
  • 出版社:Academy Publisher
  • 摘要:The main purpose of test case reduction is to decrease the number of test cases in order to minimize the time and cost of executing them. We used the data mining approach, mainly because of its ability to extract patterns of test cases that are invisible. In this paper, we use two data mining classifiers, Naïve based and J48, in order to classify a set of test cases and identify which test case is redundant or irredundant. The results show the applicability of data mining classification in removing the number of redundant test cases.
  • 其他关键词:Software testing, test case reduction, redundant test cases, naïve based classifier, J48 classifier.
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