scholarly journals A Qualitative Interpretation of Code Clone Detection Techniques

2020 ◽  
Vol 9 (4) ◽  
pp. 1295-1300
Keyword(s):  
Clone Detection ◽  
Code Clones ◽  
Detection Techniques ◽  
Software Developer ◽  
Advantages And Disadvantages ◽  
Code Clone ◽  
Qualitative Interpretation ◽  
Software Code

Clone is the software code snippets that are similar to each other with little modifications. There is a 10-20 percent clone mostly present in the software. Many techniques are developed for detection. With the code clone detection, the software developer gets an idea of removing, refactoring the clone. Code clone has both advantages and disadvantages in the particular software. In this paper, we explore the types of code clones, advantages, and disadvantages, the reason for cloning. Typically, this paper describes various techniques by using several parameters. Lastly, we discuss gaps in the research.

Enhancing the Software Clone Detection in BigCloneBench

2021 ◽  
Vol 12 (3) ◽  
pp. 17-31
Author(s):  
Amandeep Kaur ◽  
Munish Saini
Keyword(s):  
Structural Information ◽  
Source Code ◽  
Maintenance Cost ◽  
Clone Detection ◽  
Abstract Syntax ◽  
Code Clones ◽  
Major Drawback ◽  
Abstract Syntax Tree ◽  
Detection Techniques ◽  
Code Clone

In the software system, the code snippets that are copied and pasted in the same software or another software result in cloning. The basic cause of cloning is either a programmer‘s constraint or language constraints. An increase in the maintenance cost of software is the major drawback of code clones. So, clone detection techniques are required to remove or refactor the code clone. Recent studies exhibit the abstract syntax tree (AST) captures the structural information of source code appropriately. Many researchers used tree-based convolution for identifying the clone, but this technique has certain drawbacks. Therefore, in this paper, the authors propose an approach that finds the semantic clone through square-based convolution by taking abstract syntax representation of source code. Experimental results show the effectiveness of the approach to the popular BigCloneBench benchmark.

scholarly journals Integrated Reasoning Engine for Code Clone Detection

2014 ◽  
Vol 3 (2) ◽  
pp. 143-152 ◽  
Author(s):  
Naresh Babu Bynagari
Keyword(s):  
Clone Detection ◽  
Code Clones ◽  
High Pitch ◽  
Detection Process ◽  
Code Clone ◽  
Similar Code ◽  
Reasoning Engine

This article seeks to foray into the nitty-gritty of integrated reasoning for code clone detection and how it is effectively carried out, given the amount of analytics usually associated with such activities. Detection of codes requires high-pitch familiarity with cloning systems and their workings. Hence, discovering similar code segments that are often regarded and seen as code imitations (clone) is not an easy responsibility. More especially, this very detection process might possess key purposes in the context of susceptibility findings, refactoring, and imitation detecting. Through the voyage of discovery this article intends to expose you to, you will realize that identical code segments, more often than not described as code clones, appear to be a serious duty, especially for large code bases <1; 2; 3; 4>. There are certain approaches and deep technicalities that this sort of detection is known for. Still, from the avalanche of resources that formed the bedrock of this article, one would discover the easiest formula to adopt in maneuvering such strenuous issues.

Using Dynamic Time Warping to Detect Clones in Software Systems

2021 ◽  
Vol 9 (1) ◽  
pp. 20-36
Author(s):  
Mostefai Abdelkader
Keyword(s):  
Time Series ◽  
Dynamic Time Warping ◽  
Software Systems ◽  
Clone Detection ◽  
Code Clones ◽  
Time Warping ◽  
Code Clone ◽  
Software Modules ◽  
Software Clone Detection ◽  
Dynamic Time

Software clone detection is a widely researched area over the last two decades. Code clones are fragments of code judged similar by some metric of similarity. This paper proposes an approach for code clone detection using dynamic time warping technique (i.e., DTW). DTW is a well-known algorithm for aligning and measuring similarity of time series and it has been found effective in many domains where similarity plays an important role such as speech and gesture recognition. The proposed approach finds clones in three steps. First software modules are extracted. Then, the extracted modules are turned to time series. Finally, the time series are compared using the DTW algorithm to find clones. The results of the experiment conducted on a well-known Benchmark show that the approach can detect clones effectively in software systems.

scholarly journals HYBRID TECHNIQUE FOR SOFTWARE CODE CLONE DETECTION

2012 ◽  
Vol 2 (2) ◽  
pp. 98-102
Author(s):  
Priyanka Batta ◽  
Miss Himanshi
Keyword(s):  
Research Area ◽  
Software Systems ◽  
Base Line ◽  
Hybrid Technique ◽  
Clone Detection ◽  
Program Code ◽  
Code Clone ◽  
Text Base ◽  
Software Clone Detection ◽  
Software Code

Software Clone detection is one of the hottest research area that helps in detecting duplicate code from an applications. The research has shown that 5% to 20% of software systems can contain duplicated code that is generated by simply copying the existing program code and pasting with or without minor modifications. Cloning creates problem when a bug is found in one code segment that was copied and pasted at several locations earlier. The objective of this study is to analyze the working of hybrid clone detection technique that design and analyze a hybrid technique for detecting software clone in an application. We will combine metric approach with text base (line of code) technique for the above said reason. A model will be designed to automate the concept of clone detection.

Code Clone Detection and Analysis in Open Source Applications

2015 ◽  
pp. 1951-1965
Author(s):  
Al-Fahim Mubarak-Ali ◽  
Shahida Sulaiman ◽  
Sharifah Mashita Syed-Mohamad ◽  
Zhenchang Xing
Keyword(s):  
Comparative Study ◽  
Open Source ◽  
Empirical Evaluation ◽  
Two Dimensions ◽  
Clone Detection ◽  
Code Clones ◽  
Time Performance ◽  
Code Clone ◽  
Current State ◽  
Pipeline Model

Code clone is a portion of codes that contains some similarities in the same software regardless of changes made to the specific code such as removal of white spaces and comments, changes in code syntactic, and addition or removal of code. Over the years, many approaches and tools for code clone detection have been proposed. Most of these approaches and tools have managed to detect and analyze code clones that occur in large software. In this chapter, the authors aim to provide a comparative study on current state-of-the-art in code clone detection approaches and models together with their corresponding tools. They then perform an empirical evaluation on the selected code clone detection tool and organize the large amount of information in a more systematic way. The authors begin with explaining background concepts of code clone terminology. A comparison is done to find out strengths and weaknesses of existing approaches, models, and tools. Based on the comparison done, they then select a tool to be evaluated in two dimensions, which are the amount of detected clones and run time performance of the tool. The result of the study shows that there are various terminologies used for code clone. In addition, the empirical evaluation implies that the selected tool (enhanced generic pipeline model) gives a better code clone output and runtime performance as compared to its generic counterpart.

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