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Using Bayesian Networks for Web Effort Estimation

Using Bayesian Networks for Web Effort Estimation

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Author(s): Emilia Mendez (University of Auckland, New Zealand)
Copyright: 2010
Pages: 19
Source title: Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects
Source Author(s)/Editor(s): Farid Meziane (University of Salford, UK)and Sunil Vadera (University of Salford, UK)
DOI: 10.4018/978-1-60566-758-4.ch002

Keywords: Artificial Intelligence / Computer Science & IT / Engineering Science Reference

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Abstract

Web effort models and techniques provide the means for Web companies to formalise the way they estimate effort for their projects, and help in obtaining more accurate estimates. Accurate estimates are fundamental to help project managers allocate resources more adequately, thus supporting projects to be finished on time and within budget. The aim of this chapter is to introduce the concepts related to Web effort estimation and effort forecasting techniques, and to discuss effort prediction when the estimation technique used is Bayesian Networks.

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