Automated parameter estimation process for clustering algorithms used in software maintenance

Abstract

This project addresses the issues of finding the appropriate values for the constants or parameters used in any clustering algorithm for software maintenance. It is an attempt to reduce the human effort of substituting random values in an algorithm and finding the right value for the constant by trial and error. This application implements a single… (More)
DOI: 10.1145/2498328.2500058

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