Code clone detection: An approach based on statement level features

Registration ID: IJNRD_211242

Published ID: IJNRD2312271

DOI: http://doi.one/10.1729/Journal.37219

Dr Sudhamani M , Prof. Lalitha Rangarajan

Software systems, Code clones, Program statements, Duplicate code, Program fragments, Software quality, Program syntactic and semantics.

Software systems are gradually evolving with the addition of new features, functions or modification of the existing modules. Code clones are copied or near-copied portions of other code segments. Duplicate codes weaken the software quality and results in complexities, such as, software maintenance, readability, and understand ability. In this paper, we make an attempt to detect code clones, both at syntactic and semantic levels, by proposing an approach that exploits program statement level features. For example, type of statement, operators and operands, and their counts. For corroboration of the efficacy of the proposed approach, we conducted experiments on standard C projects of Bellon’s benchmarking and student lab program (SLP) datasets. Moreover, we compared the performance of the proposed approach with the NICAD (Accurate Detection of Near-Miss Intentional Clones), CLAN and clone manager tools, also. Extensive experiments demonstrate the promising findings, which can be used in future investigations.

Published Paper   E-Certificate

Dr Sudhamani M & Prof. Lalitha Rangarajan (December-2023). Code clone detection: An approach based on statement level features. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(12), c683-c702. http://doi.one/10.1729/Journal.37219

Volume 8 Issue 12, December-2023

Pages : c683-c702

Paper Reg. ID: IJNRD_211242

Published Paper Id: IJNRD2312271

Downloads: 000121990

Research Area: Computer Science & Technology 

Country: Mysuru, karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2312271.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2312271

Crossref DOI: http://doi.one/10.1729/Journal.37219

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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