Using uncertainty as an input to managing inconsistencies
Uncertainty and inconsistency are inherent aspects of the development of any complex system. In practice, both must be tolerated to some extent so as not to inhibit engineers in their work, especially during the early stages of development.
Model-driven Prompt Engineering
We propose a DSL for prompt engineering to define platform-independent prompts that can later be adapted to provide good quality outputs in any target AI system
Modeling self-adaptative IoT architectures
A model-based approach to design and manage multi-layered IoT systems, including the definition and execution of rules to express how the Internet of Things system should adapt in reaction to changes in its environment
Collaborative Software Modeling in Virtual Reality
Check out this new virtual reality modeling platform. Could this be the future of collaborative modeling for languages like UML at least when having end users as part of the team?
Low Code for Smart Software Development
What does the ideal low-code platform for AI-based software look like? In this post we give our wish list for a low-code platform for smart software development
Modeling: all you need to know
