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Detecting Java Code Clones Based on Bytecode Sequence Alignment

Authors: Dongjin Yu; Jiazha Yang; Xin Chen 0032; Jie Chen 0060;

Detecting Java Code Clones Based on Bytecode Sequence Alignment

Abstract

When the source code is copied and pasted or modified, there will be a lot of identical or similar code snippets in the software system, which are called code clones. Because code clones are believed to result in undesirable maintainability of software, numerous approaches and techniques have been proposed for code clone detection. However, most of them are based on the source code, while only a few employ the bytecode to detect code clones. In this paper, we introduce an approach based on Java bytecode, which mainly contains the steps of bytecode sequence alignment and similarity score comparison. In particular, we apply the Smith-Waterman algorithm to align bytecode sequences for precise matching. Moreover, we separately consider the similarities between instruction sequences and method call sequences, thus improving its effectiveness in detecting code clones. We conducted an extensive experiment on five open-source software to evaluate the proposed approach. The results show that our approach outperforms other state-of-the-art techniques.

Related Organizations
Keywords

code similarities, Java bytecode, code clone detection, Code clones, Electrical engineering. Electronics. Nuclear engineering, code sequence alignment, instruction block, TK1-9971

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
19
Top 10%
Top 10%
Top 10%
gold