Software engineering faces the challenge of developing and maintaining systems that are
highly variable in space (concurrent variations of the system at a single point in time) and …

Modeling complex systems involves dealing with several heterogeneous and interrelated
models defined using a variety of languages (UML, ER, BPMN, DSLs, etc.). These models …

Current trends, such as individualization, increasing complexity, and specialization, require
digitization in engineering and production. However, digitization by itself often leads to so …

With the increasing demand for customized systems and rapidly evolving technology,
software engineering faces many challenges. A particular challenge is the development and …

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 …

Planning and developing Cyber-Physical Production Systems (CPPS) are multi-disciplinary
engineering activities that rely on effective and efficient knowledge exchange for better …

Ontologies as a means to formally specify the knowledge of a domain of interest have made
their way into information and communication technology. Most often, such knowledge is …

Models are used to describe different properties of a software system. Those models often
share information that is represented redundantly and, thus, has to be kept consistent …

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

When complex IT systems are being developed, the usage of several programming and
modelling languages can lead to inconsistencies that yield faulty designs and …