Paper Info
Title
A Fuzzy R Code Similarity Detection Algorithm.
Abstract
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.
Year
DOI
Venue
2014
10.1007/978-3-319-08852-5_3
Communications in Computer and Information Science
Keywords
Field
DocType
R,antiplagiarism detection,code cloning,fuzzy proximity relations,aggregation
Computer science,Popularity,Fuzzy logic,Algorithm,Software,Artificial intelligence,Machine learning,Computation
Conference
Volume
ISSN
Citations 
444
1865-0929
2
PageRank 
References 
Authors
0.43
9
2
Name
Order
Citations
PageRank
Maciej Bartoszuk1173.62
Marek Gagolewski218623.86