Improving Effort Estimation by Voting Software Estimation Models. (10th August 2009)

• Record Type: Journal Article
• Authors: Capretz, Luiz Fernando; Marza, Venus
• Other Names: Saiedian Hossein Academic Editor.
• Is Part Of: Advances in software engineering. Volume 2009(2009)
• Publication Date: 2009-08-10
• Subjects: Software engineering -- Periodicals; Software engineering; Periodicals; Electronic journals; 005.1
• DOI: 10.1155/2009/829725
• Languages: English
• ISSNs: 1687-8655

Abstract

Abstract : 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.