Paper Title
Code clone detection: An approach based on statement level features
Article Identifiers
Registration ID: IJNRD_211242
Published ID: IJNRD2312271
: http://doi.one/10.1729/Journal.37219
Authors
Keywords
Software systems, Code clones, Program statements, Duplicate code, Program fragments, Software quality, Program syntactic and semantics.
Abstract
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.
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How To Cite (APA)
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
Issue
Volume 8 Issue 12, December-2023
Pages : c683-c702
Other Publication Details
Paper Reg. ID: IJNRD_211242
Published Paper Id: IJNRD2312271
Downloads: 000122255
Research Area: Computer Science & TechnologyÂ
Author Type: Indian Author
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
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