• Journal title: International Journal for Research in Applied Science and Engineering Technology (IJRASET)
• ISSN: 2321-9653 (online)
• Publisher: UGC
• Country of publisher: india
• Date added to EuroPub: 2017/May/21

• LCC Subject Category: Engineering, Applied Linguistics
• Publisher's keywords: Include at least 5 keywords or phrases
• Language of fulltext: english
• Full-text formats available: PDF

Ritu, Sunita Rani

• Peer review
• Editorial Board
• Aims and scope
• Instructions for authors
• Time From Submission to Publication: 8

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In the last decade, several researchers have investigated techniques to detect duplicated code in programs exceeding hundreds of thousands lines of code. All of these techniques have known merits and deficiencies, but as of today, little is known on where to fit these techniques into the software maintenance process. This paper compares three representative detection techniques (simple line matching, parameterized matching, and metric fingerprints) by means of five small to medium cases and ses the differences between the reported matches. Based on this experiment, we conclude that (1) simple line matching is best suited for a first crude overview of the duplicated code; (2) metric fingerprints work best in combination with a refactoring tool that is able to remove duplicated subroutines; (3) parameterized matching works best in combination with more fine-grained refactoring tools that work on the statement level.