by Antonio Vallecillo | Mar 12, 2019 | article, (meta)modeling, AI, UML and OCL
We propose to assign a degree of belief to model statements, which is expressed by a probability (called credence, in statistical terms) that represents a quantification of such a subjective degree of belief. We discuss how it can be represented using current modeling notations, and how to operate with it in order to make informed decisions.
by Jordi Cabot | Feb 8, 2019 | (meta)modeling
Margaret Hamilton is not only a software engineering pioneer but a model-driven one as well. Her work on the Universal Systems Language already embedded many of the key modeling concepts we use nowadays (platform-independence, code-generation,…).
by Jordi Cabot | Nov 30, 2018 | tools, (meta)modeling, AI
List of smart modeling tools, i.e. tools that include an AI assistant to help modelers write better models faster.
by Andreas Leue | Nov 21, 2018 | opinion, (meta)modeling
A discussion of architectural patterns from a modeling perspective. How modeling can help the organization of your information system? How (bad) modeling practices can damage it?
by Lola Burgueño | Oct 29, 2018 | article, (meta)modeling
Models need to represent the reality as accurately as possible. Nevertheless, complex systems are subject to uncertainty something difficult to express with plain UML. We propose a way to represent uncertainty on software models. Our uncertainty values can then be propagated through model transformations to evaluate the impact on other parts of the system.
by Andreas Leue | Aug 16, 2018 | opinion, (meta)modeling
Washing symbols are a universal way to quickly explain key properties of a piece of cloth and how you should handle it. A similar approach for models would help designers to understand the context, goal, quality,… of a model they just ran into.
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