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Definition, approaches, and analysis of code duplication detection (2006-2020): a critical review

NEURAL COMPUTING & APPLICATIONS 2022年第23期34卷 20507-20537页

作者： Chen, Chang-Feng Zain, Azlan Mohd Zhou, Kai-Qing Univ Teknol Malaysia Fac Engn Sch Comp Skudai 80310 Johor Malaysia Univ Teknol Malaysia Big Data Ctr Skudai 80310 Johor Malaysia Jishou Univ Coll Informat Sci & Engn Jishou 416000 Peoples R China

code duplication detection is the act of finding similar code in software development. It is important for software engineer to address the issues of code duplication detection. In this paper, a critical review of previous works on code duplication for code clone and plagiarism detection is performed. The review involves five main parts. Firstly, a systematic literature review is conducted to confirm the selected articles. Secondly, a critical review of different code duplication approaches is conducted based on three phases;processing, detection, and decision. Thirdly, statistical analysis of the number of review articles is performed to show the trends and hots of code duplication research. Moreover, quantitative analysis of different code duplication approaches is presented to show the effectiveness of different approaches. Fourthly, the advantages and disadvantages of different approaches and techniques are summarized and discussed. Finally, the conclusion of the review is summarized and future research direction of code duplication is described.

关键词： code duplication code duplication detection System literature review

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Insights into system - Wide code duplication

Insights into system - Wide code duplication

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11th Working Conference on Reverse Engineering

作者： Rieger, M Ducasse, S Lanza, M Univ Bern Software Composit Grp CH-3012 Bern Switzerland

ISBN: (纸本)0769522432

duplication of code is a common phenomenon in the development and maintenance of large software systems. The detection and removal of duplicated code has become a standard activity during the refactoring phases of a software life-cycle. However code duplication identification tends to produce large amounts of data making the understanding of the duplication situation as a whole difficult. Reengineers can easily lose sight of the forest for the trees. There is a need to support a qualitative analysis of the duplicated code. In this paper we propose a number of visualizations of duplicated source elements that support reengineers in answering questions, e.g., which parts of the system are connected by copied code or which parts of the system are copied the most.

关键词： code duplication detection code visualization polymetric views

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