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The Study for Software Future Forecasting Failure Time Using Curve Regression Analysis  

Kim, Hee-Cheul (남서울대학교 산업경영공학과)
Shin, Hyun-Cheul (백석문화대학교 인터넷정보학부)
Publication Information
Convergence Security Journal / v.12, no.3, 2012 , pp. 115-121 More about this Journal
Abstract
Software failure time presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing. For data analysis of software reliability model, data scale tools of trend analysis are 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 forecasting failure time case of failure time censoring. In this study, we predict the future failure time by using the curve regression analysis where the s-curve, growth, and Logistic model is used. The proposed prediction method analysis used failure time for the prediction of this model. Model selection using the coefficient of determination and the mean square error were presented for effective comparison.
Keywords
Time censoring; Forecasting Failure Time; Time Curve Regression;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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