Similarity Checking Similarity Checking of Source Code Module Using Running Karp Rabin Greedy String Tiling

R. Setiawan
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Abstract

Similarity checking of source code module, required a long process if it is done manually. Based on that problem, this research designed a software with structure-based approach using string matching technique with Running Karp-Rabin Greedy String Tiling (RKR-GST) Algorithm to check the similarity and using Dice Coefficient method to measure the level of similarity from 2 results source code modules. The result of the experiments show that RKRGST which applied in this system capable of recognizing the changing of statement and the changing statement order, and be able to recognize the syntax procedure testing that has been taken from its comparison module. Modification by adding the comment on source code module and changing of procedure name which is called in body of procedure can also be recognized by system. Processing time needed to produce output depends on the number of program code row that contained in source code module.
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使用运行Karp Rabin贪心字符串平铺的源代码模块的相似度检查
相似检查的源代码模块,需要一个漫长的过程,如果它是手工完成。针对这一问题,本研究设计了一个基于结构的软件,采用字符串匹配技术,结合Running Karp-Rabin Greedy string Tiling (RKR-GST)算法对2个结果源代码模块进行相似性检查,并采用Dice Coefficient法对2个结果源代码模块进行相似性度量。实验结果表明,应用于本系统的RKRGST能够识别语句的变化和语句顺序的变化,并能够识别从其比较模块中提取的语法过程测试。通过在源代码模块上添加注释和更改程序体中调用的程序名来进行修改,也可以被系统识别。产生输出所需的处理时间取决于源代码模块中包含的程序代码行数。
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