The Modeling Assistant Recommender: A UML class diagram recommender system

Abstract

IDEs are in full mutation thanks to more and more intelligent code completion and validation functionalities. These intelligent features also facilitate the creation of new ways of programming such as low-code or no-code. In the meantime, modeling environments still suffer, for the most part, from their outdated interfaces, their too basic features, or their lack of usability. Our research work on the topic of modeling assistance has led to the creation of a first building block to initiate a revolution similar to development environments in the landscape of modeling. In this paper, we present the Modeling Assistant Recommender, a score-based multi-criteria recommendation system for class diagrams.