A Metric Space based Software Clone Detection Approach and Case Study

2011 ◽  
Vol 3 (7) ◽  
pp. 299-309
Author(s):  
Zhuo Li ◽  
Jianling Sun
Keyword(s):  
Metric Space ◽  
Clone Detection ◽  
Detection Approach ◽  
Software Clone Detection

scholarly journals Find Me if You Can: Deep Software Clone Detection by Exploiting the Contest between the Plagiarist and the Detector

2019 ◽  
Vol 33 ◽  
pp. 5813-5820
Author(s):  
Yan-Ya Zhang ◽  
Ming Li
Keyword(s):  
Software Development ◽  
Copyright Infringement ◽  
Detection Methods ◽  
Clone Detection ◽  
Code Clones ◽  
Detection Systems ◽  
Code Clone ◽  
Detection Approach ◽  
Software Clone Detection ◽  
Significant Attention

Code clone is common in software development, which usually leads to software defects or copyright infringement. Researchers have paid significant attention to code clone detection, and many methods have been proposed. However, the patterns for generating the code clones do not always remain the same. In order to fool the clone detection systems, the plagiarists, known as the clone creator, usually conduct a series of tricky modifications on the code fragments to make the clone difficult to detect. The existing clone detection approaches, which neglects the dynamics of the “contest” between the plagiarist and the detectors, is doomed to be not robust to adversarial revision of the code. In this paper, we propose a novel clone detection approach, namely ACD, to mimic the adversarial process between the plagiarist and the detector, which enables us to not only build strong a clone detector but also model the behavior of the plagiarists. Such a plagiarist model may in turn help to understand the vulnerability of the current software clone detection tools. Experiments show that the learned policy of plagiarist can help us build stronger clone detector, which outperforms the existing clone detection methods.

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.

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