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A HYBRID TECHNIQUE FOR SOFTWARE CLONE DETECTION BY USING TOKEN BASED AND LINE BASED APPROACH

The presence of same code more than one time degrades the quality of the software that outperforms software maintainability which is too difficult to manage. In this research paper, authors designed a new methodology which is termed as “A Hybrid Technique for software code clone detection by using T...

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Bibliographic Details
Published in:International journal of advanced research in computer science 2018-04, Vol.9 (2), p.85-88
Main Authors: Chuchra, Rimmy, Sheetal
Format: Article
Language:English
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Summary:The presence of same code more than one time degrades the quality of the software that outperforms software maintainability which is too difficult to manage. In this research paper, authors designed a new methodology which is termed as “A Hybrid Technique for software code clone detection by using Token Based and Line Based Approach” (HTSCCDUToLiA) whose main purpose is to detect different types of clones viz. Type 1, Type 2 and Type 3 clones etc. This newly designed methodology working is based on two different types of software cloning approaches viz. Line based Approach and Token Based Approach. The major objective of this research paper is to remove redundant code or free space which is covered by the comment lines especially.The main significance to detect clones is to improve software code reusability and decrease same lines of source code. The major benefit to propose this new designed methodology is automatic detection of software code clone within minimum duration of time.In addition, the other benefit to design this new hybrid technique is to save software developer time, space as well as effort. By utilizing this new designed methodology the amount of code clones under a specific project or specific application can be easily reduced or removed up to some extent that will ultimately increase the performance of the software. In this way, this new designed methodology in future will helpful for producing more consistent or more efficient results.
ISSN:0976-5697
0976-5697
DOI:10.26483/ijarcs.v9i2.5568