by Robbert Jongeling | Sep 4, 2023 | (meta)modeling, article, requirements
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.
by Robert Clarisó | Aug 8, 2023 | AI, article, DSLs
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
by Ivan Alfonso | Mar 6, 2023 | article, DSLs
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
by Enes Yigitbas | Feb 7, 2023 | article, UML and OCL
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?
by Jordi Cabot | Jan 9, 2023 | AI, article, code generation, project
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
by Sergio Morales | Nov 15, 2022 | AI, article, DSLs
We introduce a domain-specific language for modeling AI engineering processes. The DSL enables you to describe how teams are developing AI-based software. As such, the DSL helps to clarify the process, simplify onboarding of new members and enables the analysis and enactment of the process.
Recent Comments