Applying knowledge elicitation to improve web effort estimation: A case study
Source of Publication
Proceedings - International Computer Software and Applications Conference
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.
Institute of Electrical and Electronics Engineers (IEEE)
Bayesian networks, Component, Effort estimation, Knowledge elicitation, Project management, Web cost estimation
Mendes, Emilia; Abutalib, Manar; and Counsell, Steve, "Applying knowledge elicitation to improve web effort estimation: A case study" (2012). All Works. 526.
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