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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
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the integration of AI components transforms the nature of software systems (SE4AI). From an architectural perspective, the research investigates how the inclusion of AI elements—such as LLMs challenges conventional
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studies using qualitative, quantitative, and mixed-methods approaches, including surveys, interviews, observations, social network analysis, and analysis of digital trace data. Collaborating with industry
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. The teaching includes lectures, practical elements, and course development at undergraduate and graduate levels in software engineering. In addition, supervision of degree and project work at undergraduate and
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that support both organizational objectives and employee needs. The position includes the collection and analysis of qualitative and quantitative data, publication of scientific findings in international