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20th IEEE International Conference on Software Maintenance (ICSM'04)
Linear Complexity Object-Oriented Similarity for Clone Detection and Software Evolution Analyses
Chicago, Illinois
September 11-September 14
ISBN: 0-7695-2213-0
ASCII Text
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E. Merlo, G. Antoniol, M. Di Penta, V. F. Rollo, "Linear Complexity Object-Oriented Similarity for Clone Detection and Software Evolution Analyses," 2012 28th IEEE International Conference on Software Maintenance (ICSM), pp. 412-416, 20th IEEE International Conference on Software Maintenance (ICSM'04), 2004.
 
 
BibTex
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@article{ 10.1109/ICSM.2004.1357826,
author = {E. Merlo and G. Antoniol and M. Di Penta and V. F. Rollo},
title = {Linear Complexity Object-Oriented Similarity for Clone Detection and Software Evolution Analyses},
journal ={2012 28th IEEE International Conference on Software Maintenance (ICSM)},
volume = {0},
year = {2004},
issn = {1063-6773},
pages = {412-416},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICSM.2004.1357826},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - 2012 28th IEEE International Conference on Software Maintenance (ICSM)
TI - Linear Complexity Object-Oriented Similarity for Clone Detection and Software Evolution Analyses
SN - 1063-6773
SP412
EP416
A1 - E. Merlo,
A1 - G. Antoniol,
A1 - M. Di Penta,
A1 - V. F. Rollo,
PY - 2004
KW - Object-Oriented Software Evolution
KW - Clone Detection
KW - Source Code Analysis
VL - 0
JA - 2012 28th IEEE International Conference on Software Maintenance (ICSM)
ER -
 
E. Merlo, École Polytechnique de Montréal
G. Antoniol, University of Sannio
M. Di Penta, University of Sannio
V. F. Rollo, University of Sannio
With the widespread adoption of object-oriented technologies, the lack of computationally efficient and scalable approaches is limiting the ability to model and analyze the history of large object-oriented software systems. This paper proposes an approximate representation of object-oriented code characteristics, inspired by pattern recognition centroids for clustering. An interesting application of such a representation is a linear-time complexity algorithm to detect duplicate or nearly duplicated code in object-oriented systems. The algorithm accuracy and time complexity were assessed on 11 releases of a large software system, the Eclipse Framework.
Index Terms:
Object-Oriented Software Evolution, Clone Detection, Source Code Analysis
Citation:
E. Merlo, G. Antoniol, M. Di Penta, V. F. Rollo, "Linear Complexity Object-Oriented Similarity for Clone Detection and Software Evolution Analyses," icsm, pp.412-416, 20th IEEE International Conference on Software Maintenance (ICSM'04), 2004
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