A Combined Weighted Approach to Detect Code Cloning

In software upgradation code clones are regularly utilized. So, we can contemplate on code location strategies goes past introductory code. In condition of-craftsmanship on clone programming study, we perceived the absence of methodical overview. We clarified the earlier research-in view of deliberate and broad database find and the hole of research for additionally think about. Software support cost is more than outlining cost. Code cloning is useful in several areas like detecting library contents, understanding program, detecting malicious program, etc. and apart from pros several serious impact of code cloning on quality, reusability and continuity of software framework. In this paper, we have discussed the code clone and its evolution and classification of code clone. Code clone is classified into 4 types namely Type I, Type II, III and IV. The exact code as well as copied code is depicted in detail for each type of code clone. Several clone detection techniques such as: Text, token, metric, hybrid based techniques were studied comparatively. Comparison of detection tools such as: clone DR, covet, Duploc, CLAN, etc. based on different techniques used are highlighted and cloning process is also explained. Code clones are identical segment of source code which might be inserted intentionally or unintentionally. Reusing code snippets via copying and pasting with or without minor alterations is general task in software development. But the existence of code clones may reduce the design structure and quality of software like changeability, readability and maintainability and hence increase the continuation charges.

2007

Abstract Code duplication or copying a code fragment and then reuse by pasting with or without any modifications is a well known code smell in software maintenance. Several studies show that about 5% to 20% of a software systems can contain duplicated code, which is basically the results of copying existing code fragments and using then by pasting with or without minor modifications.

Journal of emerging technologies and innovative research, 2018

In this paper, we discussed several methods and tools for detecting code replication in different dimensions. This survey provided an in-depth study of the clone detection methods and tools. From clone perceptions, the classification of clones and a general variety of selected methods and tools are discussed. This review paper covers the total worldview of clone identification and presents open research procedures in the recognition of code clones.

IOSR Journal of Computer Engineering, 2016

Software cloning means duplication of source code. It is most basic means of software reuse. A software clone is a code fragment which is identical to another in the source code. Clones are harmful for software maintenance because it increases the complexity of system and maintenance cost. If we detect software clones it can decrease software maintenance cost. Many code clone detection techniques have been proposed for this purpose. Several studies show that about 5% to 20% of software system can contain duplicated code which is results of copying existing code fragments and around 60% of the efforts of an organization are wasted in maintaining this. The main disadvantage of code duplication is that if a bug is detected in a code fragment; all the other fragments similar to it should be checked for the possible existence of the same bug. By using different clone detection techniques, we can detect code clones which increase the efficiency of software maintenance process and thus decreases the maintenance cost.

ArXiv, 2016

Code clone detection is involved with detecting duplicated fragments of code within a code base. Detecting these clones is useful for maintenance operations which require editing the clones. The tools developed are expected to be robust enough to identify clones even when they have been modified, whilst preserving reasonable recall and precision rates. It is also expected that these tools be easily adaptable to different programming languages. The major approaches to this problem has involve the use of direct string matching, token comparison or comparison using abstract syntax trees. It is difficult to compare detection tools due to the absence of a standardized framework for measurement. More work should be done to make the existing tools useful for other practical/industrial purposes.

iaeme

Code cloning or the act of copying code fragments and making minor, non–functional alterations, is a well known problem for evolving software systems which leads to duplicated code fragments known as code clones. A Clone Detection approach is to find out the reused fragment of code in any application to maintain different types of clones that are being identified by the clone detection techniques. Ever since clone detection evolved, it has been providing better results by reducing the complexity. A different clone detection tool makes the detection process easier and produces efficient results. In many existing systems, main focus is on line by line detection or token based detection to find out the clones in the system. So, it makes the system to take long time to process the entire source code. If the fragment of code is not an exact copy but the functionalities make it similar to each other, then existing system doesn’t figure out that type of clones in it. This paper proposes combination of textual and metric analysis of a source code for the detection of all types of clones in a given set of fragment of java source code. Various semantics have been formulated and their values are used during the detection process. This metrics with textual analysis provides less complexity in finding the clones and giving accurate results.

Code Clones are the entities in software ecosystems which can be unavoidable. Demand of software based clone detection has risen in industries day by day. Due to code duplication means the copy and paste activities, such pattern is recurrent thereby developers can reduce effort and time of rewriting similar code fragment by editing prewritten code. Code duplication may affect on quality, consistency, maintainability and comprehensibility. Here the trial is variety of syntax, compiler dependent language, and various coding patterns to resolve a single problem. There is lots of software tools, code clone detection algorithms exist, but they have some restrictions to detect perfect cloning. Earlier research and tools developed till now can find only Type-I, Type-II and some part of Type-III clones. Some tools are very slow and time consuming for comparing codes and with low in precision. Type-IV clone detection represents a challenge in current scenario. Type-IV is the Code with similar functionality that may be syntactically different but logically similar referred as semantic clones. This paper presents an algorithm for clone detection based on comparing parts of abstract syntax tree of programs and finding semantic coding styles.

2020

Code clones are novel subtle way to deal with issues pertaining from one territory module to another fragment or module. They are increasing the rate of peril in bug duplication within each code that has a copy, whenever there was a bug in wellspring of clone. The clone in code is equivalent to or indistinct code in the original source code that is made either by reproduction or a couple of changes. Clone is an indefatigable sort of programming reuses that effect on help of enormous programming. Till now, the researchers have underlined on perceiving type 1, type 2, and type 3 sort of clones. The present code clone area devices are utilized to perceive source code cloning present within them. Throughout this paper, a review is done on programming clone area to assess cross breed strategy subject to various parameters. Rather than using single technique on the code, creamer methodology is being used, suggests two strategies are being solidified together. We can achieve increasingly e...

Cloning code is becoming an increasing activity done by several programmers especially when there is a tight schedule to finish their tasks. The difficulty of detecting clone code lies in the intentional modification of some segments of the code by the programmers which may result in difficult-to-track debugs and increasing cost of maintenance. There have been different approaches and techniques proposed in the literature to solve this issue. However, these approaches either target a specific aspect of the issue or biased to some criteria rather than others. A comparison study of these techniques –based on some criteria- is proposed by this paper favoring approaches borrowed from artificial intelligence discipline. A final analysis is provided to layout the foundation for a new proposed solution that outweighs previous approaches.

Advances in Mathematics: Scientific Journal, 2020

Code clone detection is the most important aspect for removal of repetitive code. Current software is based on larger codes, large source code takes more processing time and bigger memory to store. There require some automated tool that can identify different types of clones in the codes and mark the code, which has a clone. The programmer can remove the clones by making the general functions. These functions can be called repetitive. In the proposed object oriented metrics based technique for clone detection, different types of clones are detected. The proposed technique has been implemented using Javabased tool. It is a generalized tool, it can convert the code into sequence of the processing steps to identify the types of clones. The proposed technique detects all types of clones T-1, T-2, T-3 and T-4. The proposed approach achieves high accuracy 100%, 90%, 100%, 75%, respectively.