Article Details

A Study on the use of Artificial Neural Network Approach to Software Cost Estimation | Original Article

Amit Shrivastava*, Rajeev Yadav, in Journal of Advances and Scholarly Researches in Allied Education | Multidisciplinary Academic Research

ABSTRACT:

Various cost estimating models are there, each of these models has advantages and disadvantages when it comes to predicting the price tag and time involved in creating a product. The estimate of software costs by use of Back-Propagation neural networks. The model is developed in a way that accommodates and enhances the commonly used COCOMO model. As a result, software cost estimates are more accurate, even when dealing with ambiguous or imprecise information. Three publicly available datasets are used to test the model. In this study, the software cost estimating expertise is modeled using an artificial neural network technique, and the findings are compared with the COCOMO model.