Using knowledge elicitation to improve Web effort estimation: Lessons from six industrial case studies
Document Type
Conference Proceeding
Source of Publication
Proceedings - International Conference on Software Engineering
Publication Date
7-30-2012
Abstract
This paper details our experience building and validating six different expert-based Web effort estimation models for ICT companies in New Zealand and Brazil. All models were created using Bayesian networks, via eliciting knowledge from domain experts, and validated using data from past finished projects. Post-mortem interviews with the participating companies showed that they found the entire process extremely beneficial and worthwhile, and that all the models created remained in use by those companies. © 2012 IEEE.
DOI Link
ISBN
9781467310673
ISSN
Publisher
IEEE
First Page
1112
Last Page
1121
Disciplines
Computer Sciences
Keywords
bayesian networks, expert-based models, project management, Web/software effort estimation
Scopus ID
Recommended Citation
Mendes, Emilia, "Using knowledge elicitation to improve Web effort estimation: Lessons from six industrial case studies" (2012). All Works. 3867.
https://zuscholars.zu.ac.ae/works/3867
Indexed in Scopus
yes
Open Access
no