DocumentCode
3642702
Title
Analysis of programming code similarity by using intermediate language
Author
Vladimir Mateljan;Vedran Juričić;Krunoslav Peter
Author_Institution
Faculty of humanities and social sciences / Department of Information Sciences, Zagreb, Croatia
fYear
2011
fDate
5/1/2011 12:00:00 AM
Firstpage
1235
Lastpage
1240
Abstract
The paper shows the possibility of analyzing programming code similarity by using intermediate language. Intermediate language that is generated by compiler is not sensitive to different kind of common code transformations, like changing variable names, modifications of some language constructs and loops. Therefore, the changes in original source code result in lesser changes in intermediate language code, that has positive effect on the results of code similarity analysis. Paper proposes a method for determining the similarity of programming code, and relies on existing and efficient string similarity algorithms. Method´s performance is shown by analyzing source code of applications submitted by students, as their homework. The paper describes method´s advantages and disadvantages, and suggests future steps to improve its results and accuracy.
Keywords
"Plagiarism","Algorithm design and analysis","Programming","Measurement","High level languages","Assembly"
Publisher
ieee
Conference_Titel
MIPRO, 2011 Proceedings of the 34th International Convention
Print_ISBN
978-1-4577-0996-8
Type
conf
Filename
5967246
Link To Document