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 …

Context: Metamodels evolve over time to accommodate new features, improve existing
designs, and fix errors identified in previous releases. One of the obstacles that may limit the …

Information dashboards are everywhere. They support knowledge discovery in a huge
variety of contexts and domains. Although powerful, these tools can be complex, not only for …

Metamodels evolve even more frequently than programming languages. This evolution
process may result in a large number of instance models that are no longer conforming to …

Metamodels evolve even more frequently than programming languages. This evolution
process may result in a large number of instance models that are no longer conforming to …

Low-code development platforms accelerate software development by facilitating end-user
programming. Through higher-level abstractions citizen developers are enabled to develop …

In model-driven engineering (MDE), metamodels and domain-specific languages are key
artifacts as they are used to define syntax and static semantics of domain models. However …

Nanocircuits based on molecular QCA are prone to high error rates. In this paper, we
present a novel conservative logic gate termed'CQCA'(conservative QCA) to design …

Abstract Context: Model-Driven Engineering helps formalize problem domains by using
metamodels. Modeling ecosystems consisting of purposely designed editors …

Nearly all facets of our everyday life strongly depend on software-intensive systems. Besides
correctness, highly relevant quality properties of these systems include performance, as …