Abstract. As model-driven software development covers additional parts of the development process, the complexity of software models increases as well. At the same time, however, many modelling languages do not provide adequate support for modularising models. For this reason there has been an increasing interest in the topic of model modularisation, often under the heading of aspectoriented modelling (AOM). The approaches range from techniques that closely mimic concepts from aspect-oriented programming (AOP), such as AspectJ, to very powerful composition techniques for specific types of models-for example, state machines.We believe that AOM is more than just copying the concepts of AOP at the modelling level and should rightly include a large number of other modelcomposition techniques. Developing model composition techniques and tooling is costly, however. To minimise the effort required, this paper presents a generic technique for model composition. The technique is based on invasive software composition and our Reuseware tooling and can be used with arbitrary modelling languages. The basic technique itself is language independent, but it can be adapted to construct language-and purpose-specific composition techniques for specific modelling languages and situations. Hence, it can be used both as a tool for developing specific model-modularisation techniques and as an instrument of research for studying basic properties and concepts of model modularisation. The paper gives a detailed description of our approach and evaluates it using a number of examples.
Abstract.Model-based techniques are in wide-spread use for the design and implementation of domain specific languages (DSLs) and their tooling. The Eclipse Modeling Framework (EMF) is a frequently used environment for model-based language engineering. With its underlying modelling language Ecore, its XML serialisation support and its versatile extensibility it provides a solid grounding for many task-specific language development tools. In this tutorial, we give an introduction to model-based language engineering using EMFText, which allows users to develop powerful textual editors for Ecore-based DSLs that are tightly integrated with the EMF.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.