A pattern mining approach using QVT

Abstract

Model Driven Software Development (MDSD) has matured over the last few years and is now becoming an established technology. Models are used in various contexts, where the possibility to perform different kinds of analyses based on the modelled applications is one of these potentials. In different use cases during these analyses it is necessary to detect patterns within large models. A general analysis technique that deals with lots of data is pattern mining. Different algorithms for different purposes have been developed over time. However, current approaches were not designed to operate on models. With employing QVT for matching and transforming patterns we present an approach that deals with this problem. Furthermore, we present an idea to use our pattern mining approach to estimate the maintainability of modelled artifacts. © 2009 Springer Berlin Heidelberg.