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Published in:
2014 | OriginalPaper | Chapter
8. Effort Prediction for Multimedia Projects Delivered on the Web
Author : Emilia Mendes
Published in: Practitioner's Knowledge Representation
Publisher: Springer Berlin Heidelberg
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Abstract
This chapter describes a case study where Bayesian networks (BNs) were used to construct an expert-based Web effort prediction model for use by a medium-size company in Auckland (New Zealand) to manage their Web projects. This model was solely elicited from expert knowledge, with the participation of one project manager and one Web developer. It contains 31 factors identified as influential to effort estimation, and 55 relationships associating those factors. Once built, the model was validated using data from 22 past finished projects, and from that point onwards used as basis for the predictions presented to clients.