Article

Code Clone Graph Metrics for Detecting Diffused Code Clones

Authors:

Masataka Nagura, and

Hajimu IidaAuthors Info & Claims

APSEC '09: Proceedings of the 2009 16th Asia-Pacific Software Engineering Conference

December 2009

Pages 373 - 380

https://doi.org/10.1109/APSEC.2009.53

Published: 01 December 2009 Publication History

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Abstract

Code clones (duplicated source code in a software system) are one of the major factors in decreasing maintainability. Many code clone detection methods have been proposed to find code clones automatically from large-scale software. However, it is still hard to find harmful code clones to improve maintainability because there are many code clones that should remain. Thus, to help find harmful code clones, we propose a code clone visualization method and a metrics application on the visualized information. Our method enables the location of harmful code clones diffused in a software system. We apply our method to three open source software programs and visualize their code clone information.

Cited By

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Walker ACerny TSong E(2020)Open-source tools and benchmarks for code-clone detectionACM SIGAPP Applied Computing Review10.1145/3381307.338131019:4(28-39)Online publication date: 28-Jan-2020
https://dl.acm.org/doi/10.1145/3381307.3381310
Rattan DKaur J(2016)Systematic Mapping Study of Metrics based Clone Detection TechniquesProceedings of the International Conference on Advances in Information Communication Technology & Computing10.1145/2979779.2979855(1-7)Online publication date: 12-Aug-2016
https://dl.acm.org/doi/10.1145/2979779.2979855

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APSEC '09: Proceedings of the 2009 16th Asia-Pacific Software Engineering Conference

December 2009

492 pages

ISBN:9780769539096

Publisher

IEEE Computer Society

United States

Publication History

Published: 01 December 2009

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Walker ACerny TSong E(2020)Open-source tools and benchmarks for code-clone detectionACM SIGAPP Applied Computing Review10.1145/3381307.338131019:4(28-39)Online publication date: 28-Jan-2020
https://dl.acm.org/doi/10.1145/3381307.3381310
Rattan DKaur J(2016)Systematic Mapping Study of Metrics based Clone Detection TechniquesProceedings of the International Conference on Advances in Information Communication Technology & Computing10.1145/2979779.2979855(1-7)Online publication date: 12-Aug-2016
https://dl.acm.org/doi/10.1145/2979779.2979855

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A metric-based approach to identifying refactoring opportunities for merging code clones in a Java software system

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