A Comparative Study on the Cost Analysis of Software Development Model Based on Shape Parameters of NHPP Software Reliability Model

Abstract

In this study, after applying the NHPP Rayleigh distribution model and the NHPP Erlang distribution model which are widely used in the field of software reliability together with the Goel-Okumoto basic model to the software development cost model, the attributes of cost were compared and analyzed. For this, software failure time data was used, parametric estimation was applied to the maximum likelihood estimation method, and nonlinear equations were calculated using the bisection method. As a result, it was confirmed that the Rayleigh distribution development model is the best efficient model because it has a lower software development cost and faster software release point than proposed other models. Through this study, the software development cost attributes of the Rayleigh model and the Erlang model without the existing research examples were newly analyzed. Also, we were able to present software developers and operators with the necessary prior information to predict the economic software development cost and the optimal release time.