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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1109/scam.2...
Article . 2012 . Peer-reviewed
License: STM Policy #29
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Evolution of Near-Miss Clones

Authors: Saman Bazrafshan;

Evolution of Near-Miss Clones

Abstract

It is often claimed that duplicated source code fragments increase the maintenance effort in software systems. To investigate the impact of so called clones it is useful to analyze how they evolve. A previous study analyzed several aspects of the evolution of identical clones in nine open source systems and has found that the peculiarity of clone evolution is significantly different for each system, which makes a general conclusion difficult. In this paper we investigate in which ways the evolution of near-miss clones differs from the evolution of identical clones. By analyzing seven open source systems we draw comparisons between identical and near-miss clones. Based on the findings we conclude that near-miss clones require more attention regarding clone management techniques compared to identical clones.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Top 10%
Top 10%
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