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.
We propose an extension to the OCL notation to be able to model constraints even when we do not have enough domain information to be completely precise about the rule we are modeling
Low-code platforms need to evolve from application-building platforms into platform-building platforms that enable the creation and evolution of complex software projects part of a larger ecosystem
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.
We show how domain experts can individually reason about their models and combine their opinions to reach a consensus on the models and objects they are modeling
Access-control is a key element to manage security in any user interface. This is the first attempt to extend conversational user interfaces with access-control capabilities.