Modeling languages and thus their metamodels are subject to change. When a metamodel
is evolved, existing models may no longer conform to it. Manual migration of these models in …

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 …

During the development of large software-intensive systems, developers use several
modeling languages and tools to describe a system from different viewpoints. Model-driven …

Fragmentation of information across instances of different metamodels poses a significant
problem for software developers and leads to a major increase in effort of transformation …

Model-driven development processes suffer from growing complexity, which leads to
information spread across heterogeneous metamodels as well as drift and erosion between …

Multi-level modelling promotes flexibility in modelling by enabling the use of several meta-
levels instead of just two, as is the case in mainstream two-level modelling approaches …

Modern software development faces the problem of fragmentation of information across
heterogeneous artefacts in different modelling and programming languages. In this …

Metamodels can be considered one of the key artifacts of any model-based project. Similarly
to other software artifacts, metamodels are expected to evolve during their lifecycle and …

Metamodel evolution and model co-evolution are considered to be essential ingredients for
the successful adoption of model-driven engineering in practice. In this respect, on the one …

Evolving metamodels is a delicate task, both from the programming effort's point of view and,
more importantly, from the correctness point of view: the evolved version of a metamodel …