Parameters stability analysis and recalibration of a G-O model
Yang Xiao-zong · Ha'erbin gongye daxue xuebao · 2005
Some software failures data sets have been examined to analyze stability of the parameters of a G-O model.The poor stability of the parameters prevents the model from giving an accurate prediction of software failures during a given mission period.Recalibrating the parameters is proposed and a recalibrated G-O model called RGOM is put forward.A software failures data set was used to compare the performance of the two models.It shows that RGOM can give a more accurate result in that data set.