Paper Info
Title
On how often code is cloned across repositories
Abstract
Detecting code duplication in large code bases, or even across project boundaries, is problematic due to the massive amount of data involved. Large-scale clone detection also opens new challenges beyond asking for the provenance of a single clone fragment, such as assessing the prevalence of code clones on the entire code base, and their evolution. We propose a set of lightweight techniques that may scale up to very large amounts of source code in the presence of multiple versions. The common idea behind these techniques is to use bad hashing to get a quick answer. We report on a case study, the Squeaksource ecosystem, which features thousands of software projects, with more than 40 million versions of methods, across more than seven years of evolution. We provide estimates for the prevalence of type-1, type-2, and type-3 clones in Squeaksource.
Year
DOI
Venue
2012
10.1109/ICSE.2012.6227097
ICSE
Keywords
Field
DocType
single clone fragment,type-3 clone,large-scale clone detection,code clone,squeaksource ecosystem,source code,detecting code duplication,entire code base,large amount,large code base,software maintenance,project management,ecosystems,indexes,layout,cloning,code base
Duplicate code,Information retrieval,Source code,Computer science,Real-time computing,Software,ACROSS Project,Hash function,Software maintenance,Database,Project management
Conference
Volume
ISSN
ISBN
2
0270-5257
978-1-4673-1067-3
Citations 
PageRank 
References 
21
0.83
17
Authors
3
Name
Order
Citations
PageRank
Niko Schwarz1394.07
Mircea Lungu254539.17
Romain Robbes3143873.40