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High Level Clones Classification

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Author(s): Manu Singh, | Vidushi Sharma,

Journal: International Journal of Engineering and Advanced Technology
ISSN 2249-8958

Volume: 2;
Issue: 6;
Start page: 382;
Date: 2013;
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Keywords: High Level Clones | Fuzzy rule-based system | Fuzzy Inference System | Classification of High Level Clone.

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.
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