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      Building an Expert-based Web Effort Estimation Model using Bayesian Networks

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      13th International Conference on Evaluation and Assessment in Software Engineering (EASE) (EASE)

      Evaluation and Assessment in Software Engineering (EASE)

      20 - 21 April 2009

      Web effort estimation, Bayesian networks, single-company model, expert-based elicitation

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            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 eight past finished Web projects. RESULTS - The BN model has to date been successfully used to estimate effort for four Web projects, providing effort estimates superior to those based solely on expert opinion. 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 five companies have also benefited from using Bayesian Networks, with very promising results.

            Content

            Author and article information

            Contributors
            Conference
            April 2009
            April 2009
            : 1-10
            Affiliations
            [0001]Computer Science department

            The University of Auckland

            Private Bag, 92019, Auckland, NZ
            [0002]The Fenner School of Environment and Society

            The Australian National University

            Canberra, Australia
            [0003]MetriQ Ltd. (Research Division)

            P.O. Box 837

            Oneroa, Auckland, NZ
            Article
            10.14236/ewic/EASE2009.5
            f5942859-992d-4ee6-bfd1-9942806095c2
            © Emilia Mendes et al. Published by BCS Learning and Development Ltd. 13th International Conference on Evaluation and Assessment in Software Engineering (EASE), Durham University, UK

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            13th International Conference on Evaluation and Assessment in Software Engineering (EASE)
            EASE
            13
            Durham University, UK
            20 - 21 April 2009
            Electronic Workshops in Computing (eWiC)
            Evaluation and Assessment in Software Engineering (EASE)
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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