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文章基本信息

  • 标题:Using Genetic Algorithm for Automated Efficient Software Test Case Generation for Path Testing
  • 本地全文:下载
  • 作者:Premal B. Nirpal ; K. V. Kale
  • 期刊名称:International Journal of Advanced Networking and Applications
  • 电子版ISSN:0975-0290
  • 出版年度:2010
  • 卷号:2
  • 期号:6
  • 页码:911-915
  • 出版社:Eswar Publications
  • 摘要:This paper discusses genetic algorithms that can automatically generate test cases to test selected path. This algorithm takes a selected path as a target and executes sequences of operators iteratively for test cases to evolve. The evolved test case can lead the program execution to achieve the target path. An automatic path-oriented test data generation is not only a crucial problem but also a hot issue in the research area of software testing today
  • 关键词:Genetic Algorithms; Path testing; Software Testing; Test case generation
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