DocumentCode
2618935
Title
Parallel code clone detection using MapReduce
Author
Sajnani, Hitesh ; Ossher, Joel ; Lopes, Cristina
Author_Institution
Univ. of California, Irvine, Irvine, CA, USA
fYear
2012
fDate
11-13 June 2012
Firstpage
261
Lastpage
262
Abstract
Code clone detection is an established topic in software engineering research. Many detection algorithms have been proposed and refined but very few exploit the inherent parallelism present in the problem, making large scale code clone detection difficult. To alleviate this shortcoming, we present a new technique to efficiently perform clone detection using the popular MapReduce paradigm. Preliminary experimental results demonstrates speed-up and scale-up of the proposed approach.
Keywords
operating systems (computers); parallel processing; program compilers; software engineering; source coding; MapReduce; inherent parallelism; large scale code clone detection; operating systems; parallel code clone detection; software engineering; Cloning; Detection algorithms; Distributed databases; Educational institutions; Parallel processing; Software engineering; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
Program Comprehension (ICPC), 2012 IEEE 20th International Conference on
Conference_Location
Passau
ISSN
1092-8138
Print_ISBN
978-1-4673-1213-4
Electronic_ISBN
1092-8138
Type
conf
DOI
10.1109/ICPC.2012.6240500
Filename
6240500
Link To Document