Most experts agree that large language models (LLMs), such as those used by Copilot and
ChatGPT, are expected to revolutionize the way in which software is developed. Many …

Conceptual modeling applies abstraction to reduce the complexity of a system under study
to produce a human interpretable, formalized representation (ie, a conceptual model). Such …

Improvement of software development methodologies attracts developers to automatic
Requirement Formalisation (RF) in the Requirement Engineering (RE) field. The potential …

The design of conceptually sound metamodels that embody proper semantics in relation to
the application domain is particularly tedious in model-driven engineering. As metamodels …

Nowadays, while modeling environments provide users with facilities to specify different
kinds of artifacts, eg, metamodels, models, and transformations, the possibility of learning …

Abstract Model-Based Software Engineering provides various modelling formalisms for
capturing the structural, behavioral, configuration, and intentional aspects of software …

The engineering of modern software-intensive systems is carried out in collaboration among
stakeholders with specialized expertise. The complexity of such systems often also …

We propose a simple yet a novel approach to improve completion in domain modeling
activities. Our approach exploits the power of large language models by using few-shot …

In the past decade, the modeling community has produced many feature-rich modeling
editors and tool prototypes not only for modeling standards but particularly also for many …

Model-Driven Engineering (MDE) provides a huge body of knowledge of automation for
many different engineering tasks, especially those involving transitioning from design to …