Experiences Using Case - Based Reasoning to Predict Software Project Effort
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Description: This paper explores some of the practical issues associated with the use of case-based reasoning (CBR) or estimation by analogy. The authors note that different research teams have reported widely differing results with this technology. Whilst they accept that underlying characteristics of the datasets being used play a major role they also argue that configuring a CBR system can also have an impact. They examine the impact of the choice of number of analogies when making predictions; they also look at different adaptation strategies. Their analysis is based on a dataset of software projects collected by a Canadian software house. Author(s) : Gada Kadoda, Michelle Cartwright, Liguang Chen and Martin Shepperd
