Investigating effort prediction of web-based applications using CBR on the ISBSG dataset
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منابع مشابه
A Comparison of Case-Based Reasoning Approaches to Web Hypermedia Project Cost Estimation
Over the years software engineering researchers have suggested numerous techniques for estimating development effort. These techniques have been classified mainly as algorithmic, machine learning and expert judgement. Several studies have compared the prediction accuracy of those techniques, with emphasis placed on linear regression, stepwise regression, and Case-based Reasoning (CBR). To date ...
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To date studies using CBR for Web hypermedia effort prediction have not applied adaptation rules to adjust effort according to a given criterion. In addition, when applying n-fold cross-validation, their analysis has been limited to a maximum of three training sets, which according to recent studies, may lead to untrustworthy results. This paper has therefore two objectives. The first is to fur...
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Research into Web cost estimation is relatively new where few studies have compared cost estimation modelling techniques for Web development, with an emphasis placed on techniques such as Case-based Reasoning (CBR), linear and stepwise regression. Although in a large subset of these studies CBR has given the best predictions, results were based on a simple type of CBR, where no adaptation rules...
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Several studies have compared the prediction accuracy of different types of techniques with emphasis placed on linear and stepwise regressions, and Case-based Reasoning (CBR). We believe the use of only one type of CBR technique may bias the results, as there are others that may also be used for effort prediction. This paper has two objectives. The first is to compare the prediction accuracy of...
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Many cost estimation models have been proposed over the last three decades. In this study, we investigate fuzzy ID3 decision tree as a method for software effort estimation. Fuzzy ID software effort estimation model is designed by incorporating the principles of ID3 decision tree and the concepts of the fuzzy settheoretic; permitting the model to handle uncertain and imprecise data when present...
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