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The Study for Software Future Forecasting Failure Time Using Time Series Analysis.  

Kim, Hee-Cheul (남서울대학교 산업경영공학과)
Shin, Hyun-Cheul (백석문화대학 인터넷정보학부)
Publication Information
Convergence Security Journal / v.11, no.3, 2011 , pp. 19-24 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 offer information of outline content. In this paper, we discuss forecasting failure time case of failure time censoring. In this study, time series analys is used in the simple moving average and weighted moving averages, exponential smoothing method for predict the future failure times, Empirical analysis used interval failure time for the prediction of this model. Model selection using the mean square error was presented for effective comparison.
Keywords
Time censoring; Forecasting Failure Time; Time Series Model;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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