Analysis and clustering of model clones: An automotive industrial experience

Manar H. Alalfi, James R. Cordy, Thomas R. Dean
2014 2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)  
In this paper we present our early experience analyzing subsystem similarity in industrial automotive models. We apply our model clone detection tool, SIMONE, to identify identical and near-miss Simulink subsystem clones and cluster them into classes based on clone size and similarity threshold. We then analyze clone detection results using graph visualizations generated by the SIMGraph, a SIMONE extension, to identify subsystem patterns. SIMGraph provides us and our industrial partners with
more » ... interesting and useful insights that improves our understanding of the analyzed models and suggests better ways to maintain them. 978-1-4799-3752-3/14
doi:10.1109/csmr-wcre.2014.6747198 dblp:conf/csmr/AlalfiCD14 fatcat:d2nokvjt35afvb27d5gblh4sca