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High Level Clones Classification
Manu Singh1, Vidushi Sharma2
1Manu Singh, Research Scholar, School of  ICT, Gautam Buddha University, Yamuna Expressway, Greater Noida, India.
2Dr. Vidushi Sharma, School of  ICT, Gautam Buddha University, Yamuna Expressway, Greater Noida, India.
Manuscript received on July 22, 2013. | Revised Manuscript received on August 03, 2013. | Manuscript published on August 30, 2013. | PP: 382-384 | Volume-2, Issue-6, August 2013.  | Retrieval Number: F2109082613/2013©BEIESP

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© The Authors. 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: In present time’s High level clones (HLC) is an emerging concept that uses a hierarchical organization of fine gained clone fragments (Simple clones) to form coarser-grained clones (High Level Clone). Different research groups categorize clones with respect to different contexts. In this paper we review all such available categories of clones and present them in the form of a High Level Clone Classification. Classification can serve various purposes like studying the more frequently occurring high level clones, prioritizing different types of high level clones, devising re-engineering strategies for different types of high level clones etc.. For this classification of HLC we develop a fuzzy rule-based system and also visualize the results.
Keywords: High Level Clones, Fuzzy rule-based system, Fuzzy Inference System, Classification of High Level Clone.