Cognification is the application of knowledge to boost the performance and impact of a process. We believe cognification could be a revolution in the way software is built.
Over one hundred key quotes to remember when learning and practicing software engineering
A detailed comparison of all methods and tools to create views on your models so that you can choose the one that works best for you
g9 is one of the most flexible code-generator tools I’ve seen. It generates both the front-end, the back-end and the database for you. And it's fully integrated in Eclipse
Model-driven engineering is the perfect complement to domain-driven design by providing DDD with the tools to realize its promise
Read about the benefits of organizing a modeling barcamp in your city
NeoEMF is a multi-database model persistence solution, that is able to store models in several kind of NoSQL datastores, including graph, map and column databases
How do you choose the shapes and colors for the elements of your new domain-specific language? Why not asking the crowd of future users for their opinion? This is what we've done with surprising results.
Have you noticed that affiliate programs for modeling tools are mostly inexistent? Have you thought why this could be? We try to answer these questions
Negative or null results are hardly ever published though they are important in showing the paths which did not pay off. This special issue is a first step to change this
Our approach for modeling gamification process and its application to the learning of modeling itself with examples for UML and SQL. Implemented on top of Papyrus.
Often, modeling tools are regarded as immature and therefore not ready for industrial adoption. Read on to see if there is any truth in this.
An Eclipse/EMF based tool to model optimization and planning problems. MOPLAF provides database and solver integration components for minimizing the code needed to generate and execute the modeled problem.
Summary of my invited talk at the RuleML+RR conference where I discussed why rules are not first-class citizens in software engineering and why this has to change to keep up with the demands of big data and open data.
Become an expert of software architecture modeling and analysis with AADL (Architecture Analysis and Design Language)
Leon Starr giving plenty of wisdom pearls on the benefits and optimal application of executable models while presenting his new book on the transition from models to code
The introduction of new functional-like features (like lambda expressions) in the OCL suggests a functional interpretation of the language as an optimal way to exploit such features.
Design your own controlled experiments to improve the design of your domain specific languages. A/B tests for DSLs are now possible!!
Revisiting all aspects of model-driven engineering (application, teaching, verification , tooling, research,...) promoting a lightweight perspective to maximize MDE success and adoption
Mining information on software projects hosted on GitHub can reveal a lot of useful information on how software projects (and the community behind them) should be managed to optimize your chances of success