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      Predicting Web Development Effort Using a Bayesian Network

      proceedings-article

      11th International Conference on Evaluation and Assessment in Software Engineering (EASE) (EASE)

      Evaluation and Assessment in Software Engineering (EASE)

      2-3 April 2007

      Web effort estimation, Bayesian networks, Forward stepwise regression, prediction accuracy

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            Content

            Author and article information

            Contributors
            Conference
            April 2007
            April 2007
            : 1-11
            Affiliations
            [0001]Computer Science department

            The University of Auckland

            Private Bag, 92019, Auckland, NZ
            Article
            10.14236/ewic/EASE2007.9
            1d4e1740-4877-4591-abfa-bfa785811787
            © Emilia Mendes. Published by BCS Learning and Development Ltd. 11th International Conference on Evaluation and Assessment in Software Engineering (EASE), Keele 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/

            11th International Conference on Evaluation and Assessment in Software Engineering (EASE)
            EASE
            11
            Keele University, UK
            2-3 April 2007
            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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