Knowledge representation using Bayesian networks: A case study in web effort estimation
Document Type
Conference Proceeding
Source of Publication
Proceedings of the 2011 World Congress on Information and Communication Technologies, WICT 2011
Publication Date
12-1-2011
Abstract
This paper's objective is twofold: i) to present a methodology employed to build company-specific effort estimation models that incorporate expert knowledge and the uncertainty inherent to this complex domain; ii) to report on a case study where one such model was completely built from expert-knowledge for a Multimedia company in Auckland (New Zealand). It contains 36 factors and 48 causal relationships, and was validated using data from 22 past finished projects. This model has to date been successfully used to estimate effort for the Web projects developed by that company. © 2011 IEEE.
DOI Link
ISBN
9781467301251
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
First Page
612
Last Page
617
Disciplines
Computer Sciences
Keywords
Bayesian networks, expert knowledge, Knowledge representation, project management, Web effort estimation
Scopus ID
Recommended Citation
Mendes, Emilia, "Knowledge representation using Bayesian networks: A case study in web effort estimation" (2011). All Works. 2204.
https://zuscholars.zu.ac.ae/works/2204
Indexed in Scopus
yes
Open Access
no