Software Effort Estimation Using Neural Network Ensemble
Department
Mechatronics Engineering
Document Type
Article
Publication Date
12-10-2015
Abstract
Accurate software effort estimation is crucial for software consulting organizations to stay competitive in their software development costs and retain customers. Artificial Neural Network (ANN) is an effective tool to obtain accurate effort estimates. In this paper, software effort estimation models using Artificial Neural Network (ANN) ensembles and regression analysis are developed based on data collected from 163 software development projects. The main emphasis of the paper is in developing an effective experimental design to achieve superior effort estimation results. In addition, we compare the software effort estimation of ANNs and multiple regression analysis. We found two interesting results. First, variables other than size (function points) are not especially helpful in predicting software development effort. Second, a properly designed ANN ensemble significantly outperforms estimation using regression analysis and can achieve better effort estimate predictions.
Journal Title
Journal of Computer Information Systems
Journal ISSN
2380-2057
Volume
53
Issue
4
First Page
49
Last Page
58
Digital Object Identifier (DOI)
10.1080/08874417.2013.11645650