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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.

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          Building probabilistic networks: "Where do the numbers come from?" guest editors' introduction

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            Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks

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              Author and article information

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

              The University of Auckland

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

              The Australian National University

              Canberra, Australia
              MetriQ Ltd. (Research Division)

              P.O. Box 837

              Oneroa, Auckland, NZ
              Article
              10.14236/ewic/EASE2009.5
              © 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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