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

Letchmunan, S. and Roper, M. and Wood, M. (2010) Investigating effort prediction of web-based applications using CBR on the ISBSG dataset. In: 14th International Conference on Evaluation and Assessment in Software Engineering (EASE), 2010-04-12 - 2010-04-13.

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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).

    Item type: Conference or Workshop Item (Other)
    ID code: 32853
    Keywords: c ase-based reasoning, web applications , information retrieval, Electronic computers. Computer science
    Subjects: Science > Mathematics > Electronic computers. Computer science
    Department: Faculty of Science > Computer and Information Sciences
    Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 29 Aug 2011 12:55
    Last modified: 07 Sep 2014 13:51
    URI: http://strathprints.strath.ac.uk/id/eprint/32853

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