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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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            Author and article information

            Contributors
            Conference
            April 2010
            April 2010
            : 1-10
            Affiliations
            [0001]Dept. Computer and Information Sciences

            University of Strathclyde

            Glasgow, U.K.
            Article
            10.14236/ewic/EASE2010.3
            43a93813-244d-4a0a-926d-86ed0c17d5f1
            © 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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