Recommender systems in model-driven engineering
Increasing complexity of model-based systems opens the door for recommender systems that could assist us in creating, repairing, reusing, … our models and transformations.
Model-driven and no-code solutions to build AI systems without coding
A selection of visual modeling and no-code environments for data science, machine learning and smart apps. The fastest way to start building your own AI components and ML models
Self-adaptive architectures in IoT systems: a systematic literature review
What are the common strategies to deal with dynamic events in IoT systems? What DSL can we use to define the adaptation actions to address them?
A Modeling Editor and Code Generator for message-driven architectures with AsyncAPI
AsyncAPI allows you to define Message-Driven and event-driven APIs in a machine-readable format. Our AsyncAPI toolkit helps you to model and create AsyncAPI specifications and automatically generate code from them.
(Not) Yet Another Metamodel for Traceability
Discover why we need a new traceability metamodel and the quality characteristics that enable ours to reason on the value of a trace
Navigability of associations is NOT a conceptual modeling concern
Please do not define any direction in your associations when creating your domain models. This is part of a further refinement during the design phase.
Modeling: all you need to know
