Learn how to discover the data behind a content-management system and generate the code to interact with the CMS API to get and modify that data. All following a platform-independent modeling approach
Increasing complexity of model-based systems opens the door for recommender systems that could assist us in creating, repairing, reusing, … our models and transformations.
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
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?
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.
Discover why we need a new traceability metamodel and the quality characteristics that enable ours to reason on the value of a trace
