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This paper compares several methods of analogy-based effort estimation, including the use of adaptation rules as a contributing factor to better estimation accuracy. Two data sets are used in the analysis. Results show that best predictions were obtained for the dataset that presented a continuous 'cost' function and was more 'unspoiled'.