Models in Model-Driven Engineering are heavily edited in all stages of software
development and can become temporarily inconsistent. In general, there are many …

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 …

Consistency management, the ability to detect, diagnose and handle inconsistencies, is
crucial during the development process in Model-driven Engineering (MDE). As the …

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 …

Models in Model-driven Engineering are primary development artifacts that are heavily
edited in all stages of software development and that can become temporarily inconsistent …

Managing and resolving inconsistencies in models is crucial in model-driven engineering
(MDE). In this paper we consider models that are based on the Eclipse Modeling Framework …

Models are paramount in model-driven engineering. In a software project many models may
coexist, capturing different views of the system or different levels of abstraction. A key and …

When software models change, developers often fail in kee** them consistent. Automated
support in repairing inconsistencies is widely addressed. Yet, merely enumerating repairs …

Domain modeling is a core activity in Model-Driven Engineering, and these models must be
correct. A large number of artifacts may be constructed on top of these domain models, such …