SDD

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

SDD: high performance code clone detection system for large scale source code

Full text

Pdf (174 KB)

Source

Conference on Object Oriented Programming Systems Languages and Applications archive
Companion to the 20th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications table of contents

San Diego, CA, USA

POSTER SESSION: Posters table of contents

Pages: 140 - 141

Year of Publication: 2005

ISBN:1-59593-193-7

Authors

Seunghak Lee	POSTECH, Pohang, Korea
Iryoung Jeong	Korea University, Seoul, Korea

Sponsors

ACM: Association for Computing Machinery
SIGPLAN: ACM Special Interest Group on Programming Languages

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 4, Downloads (12 Months): 38, Citation Count: 1

Additional Information:

abstract references cited by index terms collaborative colleagues

Tools and Actions:	Request Permissions Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/1094855.1094903 What is a DOI?

ABSTRACT

Code clones in software increase maintenance cost and lower software quality. We have devised a new algorithm to detect duplicated parts of source code in large software. Our algorithm is adequate for large systems and detecting not only the exact but also similar parts of source code. Our simulation of this new algorithm, namely SDD (Similar Data Detection), indicates that it can detect duplicated parts of source code in huge software with high performance.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Richard Wettel, "Automated Detection of Code Duplication Clusters" Diploma Thesis, June 2004
	2	Toshihiro Kamiya , Shinji Kusumoto , Katsuro Inoue, CCFinder: a multilinguistic token-based code clone detection system for large scale source code, IEEE Transactions on Software Engineering, v.28 n.7, p.654-670, July 2002 [doi>10.1109/TSE.2002.1019480]
	3	PMD project, http://pmd.sourceforge.net/
	4	B. S. Baker, On finding duplication and near-duplication in large software systems, Proceedings of the Second Working Conference on Reverse Engineering, p.86, July 14-16, 1995
	5	Ira D. Baxter , Andrew Yahin , Leonardo Moura , Marcelo Sant'Anna , Lorraine Bier, Clone Detection Using Abstract Syntax Trees, Proceedings of the International Conference on Software Maintenance, p.368, March 16-19, 1998