Continuous Model-Driven Engineering
Keep reading to see how we managed to combine modeling and continuous delivery and how this combination is beneficial for both continuous integration / deployment and model-driven tools
Pricing model of low-code tools does not work for indie developers
Low-code tools should be the perfect match for solopreneurs trying to release their software products ASAP. But low-code tools are too expensive for them. We explore potential alternatives.
A Model-driven Migration Approach among Cloud Providers
ARGON helps you to define your cloud infrastructure provisioning (via its own DSL) and, based on that, automate the migration process from one cloud provider to the other
JSONSchema To UML: Tool to Generate UML diagrams from JSON Schema Definitions
More and more companies define their data sources using JSONSchemas. This tool helps you to better understand JSONSchema specifications by visualizing them as UML class diagrams.
10 Tools for Modeling AI Components – Machine Learning without the code
A selection of visual modeling environments for data science, machine learning and smart apps. The fastest way to start building your own AI components and ML models
Model-Based Systems Engineering – Adoption Challenges (Survey Results)
The work presented here is a first step in the direction of defining, understanding and measuring the challenges associated with the adoption of model-based systems engineering.
Modeling: all you need to know
