Improving research quality thanks to modeling tools: model-based analysis of process descriptions
The quality of process descriptions in research is essential to reproducibility and theory building.
We suggest that model-based analysis can contribute to the improvement and concise communication of such descriptions. We demonstrate this by applying a model-based framework – PROVE – to restructure and analyze several process descriptions.
A Body of Knowledge for Model-Based Software Engineering
A Body of Knowledge is a fundamental part of any professional discipline because it captures the knowledge that is inherent, sometimes tacit, and often explicit in a professional domain. We propose the MBEBoK as a BoK for the modeling discipline
SecureMDE : International Workshop on Security for (and by) Model-Driven Engineering
Second edition of our workshop exploring the mutual benefits of combining model-driven engineering and security techniques.
Classifying Unstructured Models with Multi Layer Perceptrons
A Machine Learning approach to determine the conformance of unstructured models against a set of potential metamodels
Ask questions to your models with our modeling chatbot
Use natural language to query your models with our chatbot automatically generated from any domain-model. Built on Eclipse with Xatkit
Gadolinium: Monitoring Non-Functional Properties of REST APIs
Quality aspects of an API (availability, performance,…) are key aspects to take into account when deciding which API to choose. Our testing framework provides some insights on these non-functional properties as they are typically not disclosed
Text to UML tools – Fastest way to create your models
Sometimes the easiest way to draw a model is to “write” it down. These tools will render nicely looking UML diagrams from a few lines of text.
OpenAPI Bot: A Chatbot to Help You Understand REST APIs
Query API specifications in natural language. This chatbot will help you understand what you can do with a given OpenAPI-based API. Including some aspects difficult to get at first sight!
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!
10+ JavaScript libraries to draw your own diagrams (2020 edition)
A list of the best JavaScript drawing libraries. We cover libraries offering a predefined palette of components to reuse as well as lower-level libraries focusing on graph drawing primitives.
If it’s no-code, it must be 100% modeling
The rising popularity of no-code and low-code tools just shows once again the importance of abstraction mechanisms and (implicit/explicit) models
Modeling: all you need to know
