Ranking of Reliability Models based on Accurate Estimation and Weighted Function

Many software reliability models have been developed and are in use extensively. Because of advancements in technology, no single model gives optimal results for all applications; therefore, selecting the best model for a particular application always remains an area of interest. This paper uses different computational methods using various weighted functions to determine models' ranking. A set of thirteen comparison criteria using observed value and an estimation value of models has been formulated. We assess the model's suitability in estimating the fault by calculating model rank based on various factors. We developed a ranking model that takes into account the weightage of the model ranks in all individual comparison criteria and incorporates the estimation capability of a model through a weighted estimation function.