An Effective Software Clone Detection Using Distance Clustering
D. Gayathri Devi · 2013
Abstract – As the computer is a rapidly evolving, there is tremendous need of software development for different purpose. The complexity of software development differs, and the developers take the easier way of implementation by copying fragments which leads to code clone. This paper presents a technique for detecting code clone using fragment distance with clustering. First, we tokenize the source code into tokens. Second, by distance and clustering we find the similarity until all clusters are merged. Third, we evaluate and find the code fragments using distance cluster DC and finally, we provide the examples using distance.