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文章基本信息

  • 标题:Knowledge Mining of Test Case System
  • 本地全文:下载
  • 作者:Lilly Raamesh ; G.V. Uma
  • 期刊名称:International Journal on Computer Science and Engineering
  • 印刷版ISSN:2229-5631
  • 电子版ISSN:0975-3397
  • 出版年度:2010
  • 卷号:2
  • 期号:1
  • 页码:69-73
  • 出版社:Engg Journals Publications
  • 摘要:The paper analyzes knowledge mining of the test case System. Widespread use of test case systems and explosive growth of databases require traditional manual data analysis to be coupled with methods for efficient computer-assisted analysis It is very important for us to utilize this kind of information effectively. Today, the design of test case with enhanced reliability is a real challenge as it needs expert designers with perfect knowledge about the whole system and also the traditional test case generation approach faces a challenge in test results analysis, because of the difference between the generated test cases and the expected results. So, it will be better if we could establish a method for automatic test case mining based on both program structures and the functional requirements in specifications. Mining approach can be used to have a perfect knowledge about the whole system. In order to improve the accuracy and efficiency of knowledge acquisition, it establishes a knowledge mining model.
  • 关键词:data mining; test case; test suite; knowledge mining; clustering.
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