Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
through a model-driven approach, i.e. a combination of simulation- and data-driven methods and tools with data analysis and machine learning as an important part. The work builds on established theories and
-
models for intelligent environments. The primary area of research involves developing AI models that can learn to represent real-world phenomena based on various types of observations, including video
-
architectural styles, architecture evaluation methods, and governance models, requiring new approaches for modularity, decoupling, versioning, deployment, and lifecycle management. At the same time, the project
-
RE methods are not equipped to defend against, requiring new approaches for requirements provenance, stakeholder trust modeling, and continuous validation. This project delves into the security and
-
partners to identify challenges, co-design interventions, and evaluate alternative work practices and management approaches. Contributing to the development of evidence-based frameworks, models, and toolkits
-
for Software Engineering), encompassing research into how artificial intelligence, generative AI, and large language models can support and transform software development practices, processes, and tools across