Study and Analysis of Object-Oriented Languages using Hybrid Clone Detection Technique

摘要

Code duplication is prevalent software development traditions that announce various complementary or identical segments of code. Clone detection is a ground of dynamic research in which great equipments previously exists to inspire code clone detection. Most of the studies have explicitly or implicitly expected that code cloning is negative. Clones are harmful for software maintenance because it increases the complexity of system and maintenance cost. If we detect software clones it can decrease software maintenance cost. Numerous code clone detection techniques were exiting. The goal of those researches is the exploration of various clone detection techniques and tools. In this study, we propose an efficient clone detection tool which is used to detect clones in various programming languages. This tool enhanced the performance metrics such as recall and precision. The result is demonstrate that the proposed tool outperform as compare to traditional tools, which are shown by simulations using Net Beans.