Hybridizing evolutionary algorithms and clustering algorithms to find source-code clones
Andrew M. Sutton, Huzefa Kagdi, Jonathan I. Maletic, L. Gwenn Volkert · 2005
This paper presents a hybrid approach to detect source-code clones that combines evolutionary algorithms and clustering. A case-study is conducted on a small C++ code base. The preliminary investigation indicates that such an approach is effective in detecting groups of source-code clones.