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Miroslaw Staron is a Professor in Software Engineering at the University of Gothenburg. His research and teaching focus on various areas of software engineering, including software metrics, key performance indicators (KPIs), software standardization, software design methodologies such as modeling and meta-modeling, and self-adaptive software systems. He is deeply involved in the research on safety systems outlined by ISO 26262 and is interested in industrial collaboration and empirical research in computer science. Staron's work often emphasizes sustainable software engineering practices and the intersection of software technology and performance. He has contributed to numerous international conferences and publications in software engineering, sharing insights into modern challenges such as the implications of hybrid systems and the rising integration of generative AI within software engineering practices. His ongoing research also includes evaluating machine learning algorithms, improving automotive software processes, and exploring generative approaches to automated software engineering. Staron's contributions to the field are recognized through a variety of publications and active participation in academic discourse.
University of Gothenburg • Gothenburg, Sweden
Leading research and teaching in the field of software engineering with a focus on empirical methods, metrics, and industrial collaboration.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).