A framework for model recommenders requirements, architecture and tool support

Content-assist systems and code completion are nicely accessible in integrated development environments (IDEs). Using multiple data sources and performing sophisticated completion in several editors is quite common. However, no such supporting system exists for modeling environments, e.g., a completion mechanism in class diagrams is only existent for textual items like names, if at all. We designed a framework to bolster model recommendation research and present the requirements, concepts, architecture, and the realization below. Last of which is easily extendable and adaptable to either new data recommendation strategies or new environments like editors. As additional tool support, we provide a simulation environment, which ease development as well as implementing recommendation algorithm. Accordingly, researchers get all the conceptual groundwork and a realized infrastructure that ease the initial burden to start recommendations in modeling environments.