Clone Detection Using Abstract Syntax Suffix Trees

2006 ◽  
Author(s):  
Rainer Koschke ◽  
Raimar Falke ◽  
Pierre Frenzel
Keyword(s):  
Clone Detection ◽  
Abstract Syntax ◽  
Suffix Trees

Empirical evaluation of clone detection using syntax suffix trees

2008 ◽  
Vol 13 (6) ◽  
pp. 601-643 ◽  
Author(s):  
Raimar Falke ◽  
Pierre Frenzel ◽  
Rainer Koschke
Keyword(s):  
Empirical Evaluation ◽  
Clone Detection ◽  
Suffix Trees

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.

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