Abstract-This paper describes our plan to adapt mature code-based clone detection techniques to the efficient identification of near-miss clones in models. Our goal is to leverage successful source text-based clone detection techniques by transforming graph-based models to normalized text form in order to capture semantically meaningful near-miss results that can help in further model analysis tasks. In this position paper we present a first example, adapting the NiCad code clone detector to identifying near-miss Simulink model clones at the "system" granularity. In current work we are extending this technique to the Simulink (entire) "model" and (more refined) "block" granularities as well.
In addition, Alalfi et al. REF adapts NiCad code clone detector to find near miss clone of Matlab/Simulink by transforming graph-based models to normalized text form.
Near-miss model clone detection for Simulink models
2012 6th International Workshop on Software Clones (IWSC)
2012 6th International Workshop on Software Clones (IWSC)
Computer Science