Parameter Estimation of Discrete Logistic Curve Models for Software Reliability Assessment

摘要: We describe software reliability growth models that yield accurate parameter estimates in spite of a small amount input data an actual testing. These are based on discrete analogs logistic curve model. The described with two difference equations, one each proposed by Morishita and Hirota. equations have exact solutions. tend to differential equation which the model is defined when time interval tends zero. solutions also solution conserve characteristics because Therefore, provide estimates, making it possible predict early development phase can be released.