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 …

Feature models are arguably one of the most intuitive and successful notations for modeling
the features of a variant-rich software system. Feature models help developers to keep an …

Modelling and analysis are key to managing the increasing complexity and heterogeneity of
today's software-intensive systems. Historically, different research communities have studied …

In this article, we address how the production of model transformations (MT) can be
accelerated by automation of transformation synthesis from requirements, examples, and …

In model-driven engineering, analogously to any software development practice, metamodel
design must be accurate and performed by considering relevant quality factors, including …

Providing users with Quality of Service (QoS) guarantees and the prevention of performance
problems are challenging tasks for software systems. Architectural performance models can …

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 …

In model-driven software engineering, models are used in all phases of the development
process. These models may get broken due to various editions during the modeling process …

Metamodels play a crucial role in any model-based application. They underpin the definition
of models and tools, and the development of model management operations, including …

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 …