Table of Contents
Advances in Software Engineering
Volume 2009, Article ID 829725, 8 pages
Research Article

Improving Effort Estimation by Voting Software Estimation Models

1Department of Electrical and Computer Engineering, University of Western Ontario, London, ON, Canada N6A 5B9
2Faculty of Technology and Engineering, Islamic Azad University South Tehran Branch, 1471715363 Tehran, Iran

Received 9 February 2009; Accepted 24 June 2009

Academic Editor: Hossein Saiedian

Copyright © 2009 Luiz Fernando Capretz and Venus Marza. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Estimating software development effort is an important task in the management of large software projects. The task is challenging, and it has been receiving the attentions of researchers ever since software was developed for commercial purpose. A number of estimation models exist for effort prediction. However, there is a need for novel models to obtain more accurate estimations. The primary purpose of this study is to propose a precise method of estimation by selecting the most popular models in order to improve accuracy. Consequently, the final results are very precise and reliable when they are applied to a real dataset in a software project. Empirical validation of this approach uses the International Software Benchmarking Standards Group (ISBSG) Data Repository Version 10 to demonstrate the improvement in software estimation accuracy.