Model-Driven Engineering (MDE) provides a huge body of knowledge of automation for
many different engineering tasks, especially those involving transitioning from design to …

In model-driven optimization (MDO), domain-specific models are used to define and solve
optimization problems via meta-heuristic search, often via evolutionary algorithms. Models …

Context: The increasing complexity of modern systems leads to an increasing amount of
artifacts that are used along the model-based software and systems development lifecycle …

Abstract Model-driven optimization allows to directly apply domain-specific modeling
languages to define models which are subsequently optimized by applying a predefined set …

One of the main objectives of testing is to achieve adequate code coverage. Modern code
coverage standards suggest MC/DC (Modified Condition/Decision Coverage) instead of …

Model-Driven Engineering (MDE) provides a huge body of knowledge of automation for
many different engineering tasks, especially those involving transitioning from design to …

The optimization of business processes is an important task to increase the efficiency of the
described workflows. Metaheuristic optimization, such as evolutionary search, has been …

Explaining and understanding AI-generated policies of control problems is crucial for the
acceptance of such policies. Based on an optimisation challenge that took place at GECCO …

As AI solutions enter safety-critical products, the explainability and interpretability of
solutions generated by AI products become increasingly important. In the long term, such …

Model-driven engineering (MDE) promotes models as a key element in addressing the
increasing complexity of the software systems' lifecycle. Engineering systems with MDE …