An Experience Report on Analyzing Industrial Software Systems Using Code Clone Detection Techniques

Object-oriented programming today, is the main prototype in typical software development. Code Cloning defines generally, all through the designing and development of software systems. Detection can be based on Textual analysis, Lexical analysis, Syntax analysis, Semantic analysis, Hybrid analysis and Metric analysis. The major drawback of the present research is that it focuses more on fragments of copied code and does not focus on the aspect that the fragments of duplicated code are may be part of a larger replicated program structure. In this process, techniques take a lot of time and it creates complexity. In our research, a source code is then scanned for detecting various methods by adopting a “OPTIMIZED SVM ALGORITHM” and the method definitions are extracted and collected by means of a CLONE CODE and saved for further reference. To evaluate the performance parameters we calculate the LOC, the number of repetitions, and maximum and minimum LOC. To enhance the performance metrics precision recall, accuracy and reduce the error rate and time complexity

Download Full-text

Using Dynamic Time Warping to Detect Clones in Software Systems

International Journal of Software Innovation ◽

10.4018/ijsi.2021010103 ◽

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.

Download Full-text

Performance Evaluation and Comparative Analysis of Code-Clone-Detection Techniques and Tools

International Journal of Software Engineering and Its Applications ◽

10.14257/ijseia.2017.11.3.04 ◽

2017 ◽

Vol 11 (3) ◽

pp. 31-50 ◽

Cited By ~ 1

Author(s):

Harpreet Kaur ◽

Raman Maini

Keyword(s):

Performance Evaluation ◽

Comparative Analysis ◽

Clone Detection ◽

Detection Techniques ◽

Code Clone

Download Full-text

HYBRID TECHNIQUE FOR SOFTWARE CODE CLONE DETECTION

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v2i2b.2639 ◽

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.

Download Full-text