CCFinder: a multilinguistic token-based code clone detection system for large scale source code
IEEE Transactions on Software Engineering
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Proceedings of the eighteenth ACM SIGSOFT international symposium on Foundations of software engineering
Proceedings of the eighteenth ACM SIGSOFT international symposium on Foundations of software engineering
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Proceedings of the 2011 ACM Symposium on Applied Computing
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Visualizing the evolution of code clones
Proceedings of the 5th International Workshop on Software Clones
Proceedings of the 5th International Workshop on Software Clones
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Proceedings of the 8th Working Conference on Mining Software Repositories
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Active refinement of clone anomaly reports
Proceedings of the 34th International Conference on Software Engineering
On how often code is cloned across repositories
Proceedings of the 34th International Conference on Software Engineering
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Proceedings of the ACM international conference on Object oriented programming systems languages and applications
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AusPDC '13 Proceedings of the Eleventh Australasian Symposium on Parallel and Distributed Computing - Volume 140
Empirical Software Engineering
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The increasing performance-price ratio of computer hardware makes possible to explore a distributed approach at code clone analysis. This paper presents D-CCFinder, a distributed approach at large-scale code clone analysis. D-CCFinder has been implemented with 80 PC workstations in our student laboratory, and a vast collection of open source software with about 400 million lines in total has been analyzed with it in about 2 days. The result has been visualized as a scatter plot, which showed the presence of frequently used code as easy recognizable patterns. Also, D-CCFinder has been used to analyze a single software system against the whole collection in order to explore the presence of code imported from open source software.