The application of machine learning (ML) algorithms to address problems related to model-
driven engineering (MDE) is currently hindered by the lack of curated datasets of software …

The availability of shared software models provides opportunities for reusing, adapting and
learning from them. Public models are typically stored in a variety of locations, including …

Conversational agents, or chatbots, have become popular to access all kind of software
services. They provide an intuitive natural language interface for interaction, available from a …

Abstract Conventional wisdom on Model-Driven Engineering suggests that metamodels are
crucial elements for modeling environments consisting of graphical editors, transformations …

Manual classification methods of metamodel repositories require highly trained personnel
and the results are usually influenced by the subjectivity of human perception. Therefore …

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

Context EMF metamodels lie at the heart of model-based approaches for a variety of tasks,
notably for defining the abstract syntax of modeling languages. The language design of EMF …

Modeling is a ubiquitous activity in the process of software development. In recent years,
such an activity has reached a high degree of intricacy, guided by the heterogeneity of the …

Model-Driven Engineering practitioners have to deal with the construction of modelling
evironments by devising meta-models, grammars, editors, etc. One of the goals of the …

In the quest to reuse modeling artifacts, academics and industry have proposed several
model repositories over the last decade. Different storage and indexing techniques have …