Splitting models using information retrieval and model crawling techniques

Abstract

In team environments, models are often shared and edited by multiple developers. To allow modularity and facilitate developer independence, we consider the problem of splitting a large monolithic model into sub-models. We propose an approach that assists users in incrementally discovering the set of desired sub-models. Our approach is supported by an automated tool that performs model splitting using information retrieval and model crawling techniques. We demonstrate the effectiveness of our approach on a set of real-life case studies, involving UML class models and EMF meta-models. © 2014 Springer-Verlag.