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https://doi.org/10.1109/wse.20...
Article . 2004 . Peer-reviewed
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Resolution of static clones in dynamic Web pages

Authors: Nikita Synytskyy; James R. Cordy; Thomas R. Dean;

Resolution of static clones in dynamic Web pages

Abstract

Cloning is extremely likely to occur in Web sites, much more so than in other software. While some clones exist for valid reasons, or are too small to eliminate, cloning percentages of 30% or higher-not uncommon in Web sites-suggest that some improvements can be made. Finding and resolving the clones in Web documents is rather challenging, however: syntax errors and routine use of multiple languages complicate parsing the documents and finding clones, while lack of native code reuse tools forces the analyst to rely on other technologies for resolution. Here we present a way to find clones in Multilanguage Web documents, and resolve them using one of several code reuse techniques that are available in a dynamic Web site. Rather than picking a single resolution technique and relying on it exclusively, we pick it based on the clone in question, to minimize disruption to the structure of original documents.

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    popularity
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    influence
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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
Average
Top 10%
Top 10%