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未来软件故障时间预测的非线性回归分析

Study for Predict of the Future Software Failure Time Using Nonlinear Regression
作者:Yoon-Soo RaHee-Cheul Kim 作者单位:Department of Sport and Leisure Studies, Kwandong University,Gangneung-si, Gangwon-do, South Korea. 加工时间:2013-09-24 信息来源:科技报告(other) 索取原文[8 页]
关键词:电子信息;软件;非线性回归;预测
摘 要:Software failure time have been proposed in the literature exhibit either constant, monotonic increasing or monotonic decreasing. For data analysis of software reliability model trend analysis was developed. The methods of trend analysis are arithmetic mean test and Laplace trend test. Trend analysis only offers information of outline content. In this paper, we discuss failure time case of failure time censoring, and predict the future failure time using nonlinear regression models (growth, Logistic and weighted type) which error terms for each other are different. The proposed prediction method used the failure time for the prediction using nonlinear regression model. Model selection, using the coefficient of determination and the mean square error, were presented for effective comparison.
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