Analysis of Neural Network based Approaches for Software effort Estimation and Comparison with Intermediate COCOMO
Manpreet Kaur, Sushil Kumar Garg · 2012
Effort estimation consists in predict how many hours of work and how many workers are needed to develop a project. The effort invested in a software project is probably one of the most important and most analyzed variables in recent years in the process of project management. The ability to accurately estimate the time and/or cost taken for a project to come in to its successful conclusion is a serious problem for software engineers. However, in the context of set of resources, planning involves estimation - your attempt to determine how much money, how much effort, how many resources, and how much time it will take to build a specific software-based system or product. In this paper we will study the efficiency of Neural Network based cost estimation model with the traditional cost estimation model like Halstead Model, Bailey-Basili Model, and Doty Model. We conclude our result with the proposal of Neuron based Model basis on Back propagation Technique.