计算机工程与应用2012，Vol.48Issue(33)：68-72,5.DOI:10.3778/j.issn.1002-8331.1201-0249
不完全数据的软件可靠性预测
Software reliability prediction of incomplete data
摘要
Abstract
Aiming at the phenomenon that imputation methods to deal with incomplete data will introduce additional noise, this paper proposes a novel forecast model based on max-margin principle. This method directly uses data with absent features to predict, and experimental results show that compared with imputation methods, this model is more effective in the prediction accuracy.关键词
最大间隔/不完全数据/软件可靠性/可靠性预测Key words
max-margin principle/ incomplete data/ software reliability/ reliability prediction分类
信息技术与安全科学引用本文复制引用
尚赵伟,肖静静,张凌峰,陈静..不完全数据的软件可靠性预测[J].计算机工程与应用,2012,48(33):68-72,5.基金项目
国家重点基金(No.91118005) （No.91118005）
重庆市自然科学基金(CSTC2010BB2217) （CSTC2010BB2217）
中央高校基本科研业务费面上项目(No.CDJRC10180009,No.CDJXS10182216). （No.CDJRC10180009,No.CDJXS10182216）
