Research Methodology on Code Clone Detection with Refactoring Using Textual and Metrics Analysis in Software

Abstract

For big industrial software systems, the process of snippeting code and making small, non- functional changes is a big issue. Code clones, which are copies of existing code, are the result. Cloned code makes maintenance more of a pain, which is the primary effect. It is common practice to utilize code clone detection to identify instances of reused code in various applications. Because they add complexity to the system, evolution clones are seen as detrimental in software maintenance. The development of clone detection has led to better outcomes while also simplifying the system for easier maintenance.
You can tell if clone detection is primarily concerned with line-by-line detection or tokenization- based detection by looking at the current status of code cloning. This method adds complexity to the system and slows down the process of processing the source code to locate clones. The existing clone identification algorithm is not able to identify clones that are not perfect copies but have functional similarities with other code fragments.