document: A comparison of case-based reasoning approaches 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 no converging results have been obtained and we believe they may be influenced by the use of the same CBR configuration . The objective of this paper is twofold . First , to describe the application of case-based reasoning for estimating the effort for developing Web hypermedia applications . Second , comparing the prediction accuracy of different CBR configurations , using two Web hypermedia datasets . Results show that for both datasets the best estimations were obtained with weighted Euclidean distance , using either one analogy ( dataset 1 ) or 3 analogies ( dataset 2 ) . We suggest therefore that case-based reasoning is a candidate technique for effort estimation and , with the aid of an automated environment , can be applied to Web hypermedia development effort prediction .
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