Markus Borg

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Senior Researcher with the Software and Systems Laboratory. My main research contributions concern using information retrieval techniques to semi-automatically create traces between software artifacts, and recommendation systems for large-scale issue management based on machine learning. Other research interests include mining software repositories, findability in large projects, and software visualization. I have published 35+ scientific papers on software engineering, and a book chapter on recommendation systems.

software engineering software testing machine learning research safety-critical development mining software repositories bug reports automotive requirements engineering software traceability quality assurance visualization data mining public sector recommendation systems artificial intelligence agile software development computational notebooks mlops action research generative dialog model conversational agent ai quality computer vision statistics policy survey standardization sotif safety deep learning quality decision making software architecture unity regression testing visual analytics asic verification asic design software sports science change impact analysis tool support automation

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Markus Borg

Ch12 safety engineering

Systematic Literature Review

Lean Canvas Process and Examples

Put Your Hands in the Mud: What Technique, Why, and How

Bug Prediction and Analysis

Characterizing and predicting which bugs get fixed

Not my bug! Reasons for software bug report reassignments

Model Driven Requirements Engineering: Mapping the Field and Beyond

Test Missions as Requirements