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Dr. Markus Borg is a senior researcher at the intersection of software engineering and applied artificial intelligence. He is a principal researcher at CodeScene and an adjunct lecturer at Lund University. Markus serves on the editorial board of Empirical Software Engineering and is a department editor for IEEE Software.
My goal is to support the successful engineering of software and data-intensive systems. While my software engineering interests are broad, most of my work relates to machine learning, i.e., my research interests span both software engineering intelligence (AI4SE) and AI engineering (SE4AI).
In AI4SE, I seek to tap into the collected wisdom of historical project data to facilitate machine learning for actionable decision support. My most impactful contributions have been related to defect management, for example, bug assignment and change impact analysis. Core ideas are currently operationalized in internal tools at Ericsson.
In SE4AI, I investigate quality assurance of systems that embed machine learning components. I am particularly interested in development mandated by automotive safety standards and the expected EU AI Act. Our research studies involve requirements engineering, MLOps pipelines, software testing in automotive simulators, and our open-source demonstrator SMIRK.
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