A New Method to Predict Software Defect Based on Rough Sets

摘要：

High quality software should have as few defects as possible.Many modeling techniques have been proposed and applied for software quality prediction.Software projects vary in size and complexity,programming languages,development processes,etc.We research the correlation of software metrics focusing on the data sets of software defect prediction.A rough set model is presented to reduce the attributes of data sets of software defect prediction in this paper.Experiment shows its splendid performance.

作者: YANG Weimin LI Longshu

作者单位: Key Lab IC&SP at Anhui University,Ministry of Education,Hefei 230039,China;School of Computer Science and Technology,Anhui University,Hefei 230039,China

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）