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- W2897520778 abstract "In software development process, coping of existing code fragment and pasting them with or without modification is a frequent process. Clone means copy of an original form or duplicate. Software clone detection is important to reduce the software maintenance cost and to recognize the software system in a better way. There are many software code clone detection techniques such as textbased, token-based, Abstract Syntax tree based etc. and they are used to spot and finding the existence of clones in software system. One of the approaches to detect code clones is by analysis of different metrics for the programs. Another approach is token based comparisons of two programs to detect code clone. Our technique uses the combination of metrics and token based approach using hashing algorithm by analysis of two source codes in the process of finding clones among them and the percentage of cloning is reported as result. Keywords— software clone detection, metric based comparison, token based approach using hashing algorithm, java byte code." @default.
- W2897520778 created "2018-10-26" @default.
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- W2897520778 date "2016-01-01" @default.
- W2897520778 modified "2023-09-24" @default.
- W2897520778 title "Hybrid approach for Detecting Code Clone by Metric and Token based comparison" @default.
- W2897520778 doi "https://doi.org/10.26483/ijarcs.v7i6.2810" @default.
- W2897520778 hasPublicationYear "2016" @default.
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