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文章基本信息

  • 标题:Software Defect Prediction Models for Quality Improvement: A Literature Study
  • 本地全文:下载
  • 作者:Mrinal Singh Rawat ; Sanjay Kumar Dubey
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2012
  • 卷号:9
  • 期号:5
  • 出版社:IJCSI Press
  • 摘要:In spite of meticulous planning, well documentation and proper process control during software development, occurrences of certain defects are inevitable. These software defects may lead to degradation of the quality which might be the underlying cause of failure. In todays cutting edge competition its necessary to make conscious efforts to control and minimize defects in software engineering. However, these efforts cost money, time and resources. This paper identifies causative factors which in turn suggest the remedies to improve software quality and productivity. The paper also showcases on how the various defect prediction models are implemented resulting in reduced magnitude of defects.
  • 关键词:Software Defects; Defect Prediction; Defect Prediction; Software Quality; Machine Learning Algorithms; Defect Density.
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