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General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2013 Vol.3(6): 499-503 ISSN: 2010-3697
DOI: 10.7763/IJMO.2013.V3.329

Discoverable Digital Clone Repository for Improved Knowledge Transfer and Productivity

Moses L. Gadebe and George E. M. Ditsa
Abstract—Code clone is a result of copy and paste of source codes to solve similar problems. Currently most automated clone detection techniques produce indexed statistical reports showing locations of clones. This paper propose a Discoverable Digital Clone Repository to enhance Clone Wrapper Detection Technique to detect, extract and transform clone source code metadata into Clone Family Tree Ontology model stored in Fedora Repository. This is aimed at improving reuse, shareability and reliability of potential clones by software developers and maintenance programmers. The preliminary results show that the Discoverable Digital Clone Repository can store valid Clone Family Tree Ontology which is accessible to developers via Simple HTTP SPARQL queries.

Index Terms—Clone family tree ontology, clone wrapper detection technique, discoverable, shareability.

The authors are with Tshwane University of Technology, Pretoria, 0001, South Africa (e-mail: GadebeML@tut.ac.za, DitsaGE@tut.ac.za).

[PDF]

Cite:Moses L. Gadebe and George E. M. Ditsa, "Discoverable Digital Clone Repository for Improved Knowledge Transfer and Productivity," International Journal of Modeling and Optimization vol. 3, no. 6, pp. 499-503, 2013.

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