DocumentCode :
2441535
Title :
Using knowledge elicitation to improve Web effort estimation: Lessons from six industrial case studies
Author :
Mendes, Emilia
Author_Institution :
Coll. of IT, Zayed Univ. Dubai, Dubai, United Arab Emirates
fYear :
2012
fDate :
2-9 June 2012
Firstpage :
1112
Lastpage :
1121
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.
Keywords :
Internet; belief networks; estimation theory; knowledge acquisition; project management; Bayesian networks; Brazil; ICT companies; New Zealand; domain experts; expert-based Web effort estimation models; industrial case studies; knowledge elicitation; Accuracy; Bayesian methods; Companies; Context; Estimation; Predictive models; Web pages; Web/software effort estimation; bayesian networks; expert-based models; project management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering (ICSE), 2012 34th International Conference on
Conference_Location :
Zurich
ISSN :
0270-5257
Print_ISBN :
978-1-4673-1066-6
Electronic_ISBN :
0270-5257
Type :
conf
DOI :
10.1109/ICSE.2012.6227108
Filename :
6227108
Link To Document :
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