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https://doi.org/10.1109/scam.2...
Article . 2016 . Peer-reviewed
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Similarity of Source Code in the Presence of Pervasive Modifications

Authors: Chaiyong Ragkhitwetsagul; Jens Krinke; David Clark 0001;

Similarity of Source Code in the Presence of Pervasive Modifications

Abstract

Source code analysis to detect code cloning, code plagiarism, and code reuse suffers from the problem of pervasive code modifications, i.e. transformations that may have a global effect. We compare 30 similarity detection techniques and tools against pervasive code modifications. We evaluate the tools using two experimental scenarios for Java source code. These are (1) pervasive modifications created with tools for source code and bytecode obfuscation and (2) source code normalisation through compilation and decompilation using different decompilers. Our experimental results show that highly specialised source code similarity detection techniques and tools can perform better than more general, textual similarity measures. Our study strongly validates the use of compilation/decompilation as a normalisation technique. Its use reduced false classifications to zero for six of the tools. This broad, thorough study is the largest in existence and potentially an invaluable guide for future users of similarity detection in source code.

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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!
24
Top 10%
Top 10%
Top 10%