Paper Info
Title
Index-based model clone detection
Abstract
Existing algorithms for model clone detection operate in batch mode. Consequently, if a small part of a large model changes during maintenance, the entire detection needs to be recomputed to produce updated cloning information. Since this can take several hours, the lack of incremental detection algorithms hinders clone management, which requires up-to-date cloning information. In this paper we present an index-based algorithm for model clone detection that is incremental and distributable. We present a case study that demonstrates its capabilities, outline its current limitations and present directions for future work.
Year
DOI
Venue
2011
10.1145/1985404.1985409
IWSC
Keywords
Field
DocType
present direction,entire detection,model clone detection,index-based model clone detection,batch mode,large model change,cloning information,up-to-date cloning information,model clone,incremental detection algorithm,clone management,indexation,data flow
Computer science,Matlab simulink,Real-time computing,Batch processing,Computer engineering,clone (Java method),Data flow diagram
Conference
Citations 
PageRank 
References 
8
0.52
21
Authors
3
Name
Order
Citations
PageRank
Benjamin Hummel166029.51
Elmar Juergens274331.07
Daniela Steidl31035.59