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      Investigating effort prediction of web-based applications using CBR on the ISBSG dataset

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      14th International Conference on Evaluation and Assessment in Software Engineering (EASE) (EASE)

      Evaluation and Assessment in Software Engineering

      12 - 13 April 2010

      Effort estimation, case-based reasoning, web applications

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          Abstract

          As web-based applications become more popular and more sophisticated, so does the requirement for early accurate estimates of the effort required to build such systems. Case-based reasoning (CBR) has been shown to be a reasonably effective estimation strategy, although it has not been widely explored in the context of web applications. This paper reports on a study carried out on a subset of the ISBSG dataset to examine the optimal number of analogies that should be used in making a prediction. The results show that it is not possible to select such a value with confidence, and that, in common with other findings in different domains, the effectiveness of CBR is hampered by other factors including the characteristics of the underlying dataset (such as the spread of data and presence of outliers) and the calculation employed to evaluate the distance function (in particular, the treatment of numeric and categorical data).

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          Most cited references 7

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          A review of studies on expert estimation of software development effort

           M. Jørgensen (2004)
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            Web development: estimating quick-to-market software

             D.J. Reifer (2000)
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              Software project economics a roadmap

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                Author and article information

                Contributors
                Conference
                April 2010
                April 2010
                : 1-10
                Affiliations
                Dept. Computer and Information Sciences

                University of Strathclyde

                Glasgow, U.K.
                Article
                10.14236/ewic/EASE2010.3
                © Sukumar Letchmunan et al. Published by BCS Learning and Development Ltd. 14th 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/

                14th International Conference on Evaluation and Assessment in Software Engineering (EASE)
                EASE
                Keele University, UK
                12 - 13 April 2010
                Electronic Workshops in Computing (eWiC)
                Evaluation and Assessment in Software Engineering
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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