Metaphorical Analysis of Software Clone Detection Techniques based on Dimensions and Metrics

2018 ◽  
Vol 6 (12) ◽  
pp. 151-156
Author(s):  
Sarveshwar Bharti ◽  
Hardeep Singh
Keyword(s):  
Clone Detection ◽  
Detection Techniques ◽  
Software Clone Detection ◽  
Metaphorical Analysis

scholarly journals Comprehensive Study of Software Clone Detection Techniques

2016 ◽  
Vol 18 (04) ◽  
pp. 15-19
Author(s):  
Sunayna Sunayna ◽  
Kamna Solanki ◽  
Sandeep Dalal ◽  
Sudhir Sudhir
Keyword(s):  
Clone Detection ◽  
Detection Techniques ◽  
Software Clone Detection ◽  
Comprehensive Study

scholarly journals A Survey of Software Clone Detection Techniques

2016 ◽  
Vol 137 (10) ◽  
pp. 1-21 ◽  
Author(s):  
Abdullah Sheneamer ◽  
Jugal Kalita
Keyword(s):  
Clone Detection ◽  
Detection Techniques ◽  
Software Clone Detection

A Mutation Operator-Based Scenario for Evaluating Software Clone Detection Tools and Techniques

2019 ◽  
Vol 13 (1) ◽  
pp. 30-45
Author(s):  
Pratiksha Gautam ◽  
Hemraj Saini
Keyword(s):  
Comparative Study ◽  
Evaluation Criterion ◽  
Clone Detection ◽  
Mutation Operator ◽  
Detection Techniques ◽  
The Past ◽  
Hypothetical Scenario ◽  
Analysis Of Results ◽  
Software Clone Detection ◽  
Tools And Techniques

Over the past few years, several software clone detection tools and techniques have been introduced by numerous researchers. The software clone detection techniques and tools are based on their numerous attributes and sub-attributes which make them difficult to complete a comparative study. Therefore, the authors propose a mutation operator-based editing taxonomy for generating different software clone types. In addition, a hypothetical scenario is developed using mutation operator-based editing taxonomy and this hypothetical scenario is used to evaluate various software clone detection techniques and tools. Further, the existing evaluation criterion is extended by the hypothetical scenario which is clearly represented by the analysis of results.

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.

Sign in / Sign up

Export Citation Format

Share Document