INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
Keywords:
Software systems, Code clones, Program statements, Duplicate code, Program fragments, Software quality, Program syntactic and semantics.
Cite Article:
"Code clone detection: An approach based on statement level features", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 12, page no.c683-c702, December-2023, Available :http://www.ijnrd.org/papers/IJNRD2312271.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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