Hybrid Textual and Graphical ER Modeling in VS Code with the bigER Modeling Tool
bigER is a free and open-source ER modeling tool supporting hybrid, textual- and graphical editing, multiple notations, and SQL code generation. The tool is available as an extension for Visual Studio Code.
DescribeML: A tool for describing machine learning datasets
DescribeML is a Visual Studio Code plugin to precisely describe machine learning datasets.
Qualities of a good notation – a mathematician perspective
What are the core principles of a good concrete syntax? A famous mathematician lists his main principles. To take into account when designing your next DSL.
What is the best tool to teach UML ?
This is a recurrent question. Even if I barely teach right now, people keep asking me what tool would I recommend to teach UML courses. And it has also been a "hot" topic in our team, especially since NoMagic dropped the academic license for MagicDraw (or complicated...
Evolution of low-code platforms
Low-code platforms need to evolve from application-building platforms into platform-building platforms that enable the creation and evolution of complex software projects part of a larger ecosystem
How do software architects deal with non-functional requirements? : an Exploratory Study
How do real software projects deal with non-functional requirements? This paper sheds some light on this issue by talking with software architects
Comparing the Effort of Developing Enterprise Applications with Programming and with Domain-Specific Modeling
We report on a case study comparing development productivity between traditional programming languages and a domain-specific modeling language. Check out why domain-specific modeling was over 500% as productive and changed the way how development was carried out.
An OCL GitHub action to validate models in your CI/CD pipelines
Automating the build pipeline of modeling projects, one Github action at a time. We start by automating the verification process that checks models are consistent with a set of OCL constraints
Guidelines for Quality Management of Research Artifacts in Model-Driven Engineering
In Model-Driven Engineering, openly providing research artifacts has become vital, e.g. for the broader adoption of AI techniques. We present you a set of guidelines designed as a toolkit to support researchers in creating, sharing, and maintaining artifacts in MDE research.
The model-driven book – 2nd edition (now also available via Springer)
Five years after the first edition, we are back with a completely revised version of our model-driven software engineering book. More than 90 institutions around the world use it to teach MDE!
Logic Model Automation with API Logic Server
Easily define and execute business logic and business rules for your data-driven system with our easy-to-use low-code and model interpretation approach
Modeling: all you need to know
