Detection of Software Cloning by using Visual Detection Technique with Result Analysis
Harish Patidar1, Amit Mishra2, Shiv K. Sahu3
1Harish Patidar, M.Tech Scholar, Department of Information Technology, Technocrats Institute of Technology, Bhopal (M.P). India.
2Amit Mishra, Assistant Professor, Department of Information Technology, Technocrats Institute of Technology, Bhopal (M.P). India.
3Dr. Shiv K. Sahu, Associate Professor & Head, Department of Information Technology, Technocrats Institute of Technology, Bhopal (M.P). India.
Manuscript received on June 12, 2016. | Revised Manuscript received on June 18, 2016. | Manuscript published on June 25, 2016. | PP: 10-15 | Volume-4 Issue-5, June 2016. | Retrieval Number: E1103054516
Open Access | Ethics and Policies | Cite
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Code duplication or copying a code fragment and then reuse by pasting with or without any modifications is a well known code smell in software maintenance. Many record show that about 5% to 20% of a software systems can contain duplicated code, which is basically the results of copying existing code fragments and using then by pasting with or without minor modifications. Researchers think clones lead to additional changes during maintenance phase, in later stage increase the overall maintenance effort because of to find modified cloned code in same or another code file within time period with higher accuracy for any kind of modification in it. This project use visual detection technique to find the clone code. Visual detection technique uses near-miss clones detection method to find clones in a program file with higher accuracy and give results better than current Clone detection techniques.
Keywords: Code clone, Web server application, Visual detection, Token and flag.