Novel Nonlinear Least Square Parameter Estimation Method for Jelinski-Moranda Model
Meizhi Xu · Jisuanji fangzhen · 2008
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).