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文章基本信息

  • 标题:Reformation with Neural Network in Automated Software Testing
  • 本地全文:下载
  • 作者:Ayush Kumar Yogi
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2013
  • 卷号:4
  • 期号:6-3
  • 出版社:Seventh Sense Research Group
  • 摘要:In the practical scenario, neural network has showed its efficient performance in diversity of applications. As the software testing is the main moving wheel in the software development, there must be adoption of new techniques to move faster the testing wheels. In this paper the impact of neural network on software testing and how we can improve and get efficient results in testing phase is described. An idea proposed to professional automated testing tools developers how they can absorb neural network technique in their testing tool. Generally after testing phase completes and actual results have obtained then at comparative phase of actual and desired test results of test cases the neural network is adopted. To absorb neural network in software testing gives the meaning to test software using neural network technique from its initial input data for test to at the end of test.
  • 关键词:rules; association; rule; methods; mining; interest; web
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