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.
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.
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
Model-driven production of data-centric infographics
A DSL and a generator to quickly produce great looking infographics from data sources. Speed up your infographic creation process and keep them always up-to-date.
Towards Self-Adaptable Languages
Existing software languages do not capitalize on monitored usage data of the language and its modeling environment. This hinders the continuous and automatic evolution of the software language based on feedback loops.
Modeling: all you need to know
