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.
Modeling, verifying and generating embedded software with Dezyne
Our review of Dezyne, a great tool to quickly model, verify and generate component-based software.
Diverse scenario exploration in model finders using graph kernels and clustering
Clustering of model instances by using graph kernels. Make sure you test your models with the most diverse set of examples!
From informal to formal modeling
We propose an iterative modeling approach where designers can dynamically customize the level of formality required in each iteration in a visual and intuitive way
The impact of introducing a modeling tool in a Requirement Engineering course
In numerous programming and software engineering courses, students are asked to program on paper, which has supporters and detractors. Supporters claim that, among its advantages, programming on paper allows students to focus on functionality, avoiding the...The low-code handbook
Modeling: all you need to know
Recent Comments