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文章基本信息

  • 标题:A Survey of Different Software Fault Prediction Using Data Mining Techniques Methods
  • 本地全文:下载
  • 作者:Karpagavadivu.K ; Maragatham.T ; Karthik.S
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2012
  • 卷号:1
  • 期号:8
  • 页码:164-166
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Software fault prediction method used to improve the quality of software. Defective module leads to decrease the customer satisfaction and improve cost. Software fault prediction technique implies a good investment in better design in future systems to avoid building an error prone modules. Faulty modules are predicted using data mining techniques. Various classifiers are used to classify faulty or non - faulty modules. The goal of software fault prediction is to help the software manager to inc rease the software system quality. There are many software fault prediction techniques are available. This paper presents the survey on software fault prediction models.
  • 关键词:Clustering; ; Fault prediction; ; Machine learning; ; Quad tree; Software metric ; s; Software Quality
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