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	Novel nonlinear least square parameter estimation method for Jelinski-Moranda model
	Liu Jing-wei ; Hu Yu-biao ; Wang Xiao-ling ; Xu Mei-zhi
	2010-10-12 ; 2010-10-12
关键词	Practical Experimental/ curve fitting least squares approximations naval engineering computing Newton-Raphson method parameter estimation software reliability/ nonlinear least square parameter estimation method Jelinski-Moranda model software reliability equivalent curve fitting function naval tactical data system NTDS Newton-Raphson method/ C6110B Software engineering techniques C7490 Computing in other engineering fields C4130 Interpolation and function approximation (numerical analysis)
中文摘要	A novel nonlinear least square parameter estimation (LogLSE) method for Jelinski-Moranda (J-M) model of software reliability was proposed. Developing an equivalent curve fitting function with traditional J-M least square, the formulae of the new nonlinear least square (NLS) parameters estimation were derived. The experimental results on standard software reliability failure data-Naval Tactical Data System (NTDS) and three datasets used by J. D. Musa with Newton-Raphson method for parameter estimation demonstrate that LogLSE is superior to maximum likelihood estimation (MLE) and least square estimation (LSE).
语种	中文
出版者	Editorial Committee of the Journal of System Simulation ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/81257]
专题	清华大学
推荐引用方式 GB/T 7714	Liu Jing-wei,Hu Yu-biao,Wang Xiao-ling,et al. Novel nonlinear least square parameter estimation method for Jelinski-Moranda model[J],2010, 2010.
APA	Liu Jing-wei,Hu Yu-biao,Wang Xiao-ling,&Xu Mei-zhi.(2010).Novel nonlinear least square parameter estimation method for Jelinski-Moranda model..
MLA	Liu Jing-wei,et al."Novel nonlinear least square parameter estimation method for Jelinski-Moranda model".(2010).

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