Empirical evaluation of analogy-x for software cost estimation

This paper reports on the empirical evaluation of a novel approach called Analogy-X, which is an extension to the classical analogy-based software cost estimation. The Analogy-X approach is a set of procedures that utilize the principles of the Mantel randomization test to provide inferential statistics to Analogy. Our previous studies have clearly demonstrated the novelty and effectiveness of this technique. This paper provides further empirical evaluation of Analogy-X using different kinds of datasets. Our results show that the prediction accuracy of Analogy-X is similar to the one of ANGEL. Analogy-X has the additional advantage of allowing the use of Mantel statistics to select project features and detect abnormal data points, which provides a sound statistical basis for analogy-based systems.