Code Clone is a pathological form of software reuse because of its effects on the maintenance of large software systems. Probably the existing web applications use a mixture of Designing page and scripting language code as the front-end to business services. Analogously to traditional applications, redundant code is introduced by copy-and-paste practices called "Code Clones". This paper proposes the detection of all types of clones by identifying cloned functions within scripting code of web applications using Hybrid approach with the combination of textual and metric analysis. Various metrics had been formulated and their values were utilized during the detection process. Compared to the other approaches, this method is considered to be the least complex and is to provide a most accurate and efficient way of Clone Detection. The results obtained had been compared with an existing tool for the open source of web applications.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.