Applying knowledge elicitation to improve web effort estimation: A case study

Document Type

Conference Proceeding

Source of Publication

Proceedings - International Computer Software and Applications Conference

Publication Date

12-14-2012

Abstract

OBJECTIVE - The objective of this paper is to describe a case study where Bayesian Networks (BNs) were used to construct an expert-based Web effort model. METHOD - We built a single-company BN model solely elicited from expert knowledge, where the domain expert was an experienced Web project manager from a small Web company in Auckland, New Zealand. This model was validated using data from 22 past finished Web projects. RESULTS - The BN model has to date been successfully used to estimate effort for numerous Web projects. CONCLUSIONS - Our results suggest that, at least for the Web Company that participated in this case study, the use of a model that allows the representation of uncertainty, inherent in effort estimation, can outperform expert-based estimates. Another nine companies have also benefited from using Bayesian Networks, with very promising results. © 2012 IEEE.

ISBN

9780769547367

ISSN

0730-3157

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

First Page

461

Last Page

469

Disciplines

Computer Sciences

Keywords

Bayesian networks, Component, Effort estimation, Knowledge elicitation, Project management, Web cost estimation

Scopus ID

84870820277

Indexed in Scopus

yes

Open Access

no

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