Searched for: TUD-SERG-2011-017
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Romano, D. (author), Pinzger, M. (author)
Recent empirical studies have investigated the use of source code metrics to predict the change- and defect-proneness of source code files and classes. While results showed strong correlations and good predictive power of these metrics, they do not distinguish between interface, abstract or concrete classes. In particular, interfaces declare...
report 2011