Abstract
This chapter aims to describe a case study where Bayesian networks (BNs) were used to construct a Web effort estimation model for use by a medium-size Web company in Rio de Janeiro (Brazil) to manage their Web projects. This model was solely elicited from expert knowledge, with the participation of one project manager, and was validated using data from 22 past finished projects. It contains 16 factors and 16 relationships identified by the domain expert as fundamental for Web effort estimation, and was built using 126 person-hours.
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References
Mendes E, Mosley N, Counsell S (2005) Investigating web size metrics for early web cost estimation. J Syst Softw 77(2):157–172
Jensen FV (1996) An introduction to Bayesian networks. UCL Press, London
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Mendes, E. (2014). Effort Prediction for Static and Dynamic Web Applications. In: Practitioner's Knowledge Representation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54157-5_12
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DOI: https://doi.org/10.1007/978-3-642-54157-5_12
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