A Fuzzy R Code Similarity Detection Algorithm

被引：0

作者：

Bartoszuk, Maciej ^{[1
]}

Gagolewski, Marek ^{[2
,3
]}

机构：

[1] Polish Acad Sci, Syst Res Inst, Interdisciplinary PhD Studies Program, PL-00901 Warsaw, Poland

[2] Polish Acad Sci, Syst Res Inst, PL-01447 Warsaw, Poland

[3] Warsaw Univ Technol, Fac Math & Informat Sci, PL-00662 Warsaw, Poland

来源：

INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS, PT III | 2014年 / 444卷

关键词：

R; antiplagiarism detection; code cloning; fuzzy proximity relations; aggregation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

R is a programming language and software environment for performing statistical computations and applying data analysis that increasingly gains popularity among practitioners and scientists. In this paper we present a preliminary version of a system to detect pairs of similar R code blocks among a given set of routines, which bases on a proper aggregation of the output of three different [0, 1]-valued (fuzzy) proximity degree estimation algorithms. Its analysis on empirical data indicates that the system may in future be successfully applied in practice in order e. g. to detect plagiarism among students' homework submissions or to perform an analysis of code recycling or code cloning in R's open source packages repositories.

引用

页码：21 / 30

页数：10

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