Topics of interest include, but are not limited to:

• Industrial reports and empirical studies on scalability in Modelling;
• Identification of open research challenges and proposed solutions;
• Repository mining and management for Modelling artefacts;
• Clone, pattern, aspect mining for Modelling artefacts;
• Applications of explorative or descriptive data analytics;
• Applications of predictive analytics and machine learning;
• Large-scale model management and consistency checking;
• Natural language processing for Modelling;
• Model searching, indexing, retrieval, storage;
• Visualization of (possibly heterogeneous) large sets of Modelling artefacts;
• Techniques to analyse and automate (co-)evolution in Modelling;
• Variability mining and management, model-driven software product lines;
• Distributed computing for Modelling, with an eye towards Big Data;
• Intelligent techniques for automating Modelling tasks.

We invite contributions from a wide range of technical spaces to promote cross-fertilization: Model-Driven Engineering, Systems Engineering, Business Process Modelling, Software Architecture,  and so on.