Abstract Context Model Driven Software Engineering (MDSE) and low-code/no-code
software development tools promise to increase quality and productivity by modelling …

Artificial intelligence has already proven to be a powerful tool to automate and improve how
we deal with software development processes. The application of artificial intelligence to …

Modeling structure and behavior of software systems plays a crucial role in the industrial
practice of software engineering. As with other software engineering artifacts, software …

Simulink is an example of a successful application of the paradigm of model-based
development into industrial practice. Numerous companies create and maintain Simulink …

There are many repair alternatives for resolving model inconsistencies, each involving one
or more model changes. Enumerating them all could overwhelm the developer because the …

In model-driven software engineering, models are used in all phases of the development
process. These models must hold a high quality since the implementation of the systems …

Where graphs are used for modelling and specifying systems, consistency is an important
concern. To be a valid model of a system, the graph structure must satisfy a number of …

Repairing design models is a laborious task that requires a considerable amount of time and
effort from developers. Repair recommendation (RR) approaches focus on reducing the …

Many recommenders for modelling tasks have recently appeared. They use a variety of
recommendation methods, tailored to concrete modelling languages. Typically …

Repairing software models may be a laborious task, as the number of alternatives that must
be considered by engineers can be large. This is more evident in collaborative …