Artificial intelligence (AI) and machine learning (ML) are increasingly broadly adopted in
industry. However, based on well over a dozen case studies, we have learned that …

Information System (IS) development has been beset by consistency problems since its
infancy. These problems are greater still in UML software development, and are principally …

Context: Collaborative Model-Driven Software Engineering (MDSE) consists of methods and
techniques where multiple stakeholders manage, collaborate, and are aware of each others' …

In their recent book, Mens and Demeyer state that Model-Driven Engineering introduces
additional challenges for controlling and managing software evolution. Today, tools exist for …

Visual modeling languages such as the Business Process Model and Notation and the
Unified Modeling Language are widely used in industry and academia for the analysis and …

Modeling languages, just as all software artifacts, evolve. This poses the risk that legacy
models of a company get lost, when they become incompatible with the new language …

In Model Driven Engineering (MDE), models are first-class citizens, and model
transformation is MDE's" heart and soul". Since model transformations are executed for a …

Changing a metamodel can cause inconsistency with instance models. Modelling
frameworks such as EMF that implement the OMG's metamodelling architecture cannot be …

Software developers in big and medium-size companies are working with millions of lines of
code in their codebases. Assuring the quality of this code has shifted from simple defect …

The systems modeling technique is used for developing an abstract model to help analyze
and understand the functionality of a system. In this paper, we introduce a new approach for …