A Comparative Study of Two Techniques for Analyzing Software Measurement Data
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Description: Different data analysis techniques may provide data analysts with different and complementary insights into the studied phenomena. In this paper, two data analysis techniques - Rough Sets and Logistic Regression - are compared, from both the theoretical and the experimental points of view. The two data analysis techniques are different in nature: Logistic Regression uses a statistical approach, while the Rough Sets analysis technique does not. The authors have applied both techniques to the same data set. The goal of the experimental study was to determine the major factors affecting reliability and reusability in the application context. Author(s) : Sandro Morasca and Günther Ruhe
