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Andreas Vogelsang and his group work on data-driven methods that make the lives of software and systems engineers easier. This includes the automation of tasks in requirements engineering, feature dependency analysis in multifunctional systems, feature usage analysis based on interaction data, or automatic derivation of test cases. In his research, he uses tools and techniques from the areas of natural language processing (NLP), machine learning (especially CNNs, Transformer language models, Bayesian networks), and statistics. More recently, Andreas Vogelsang has also worked on software engineering practices for data-driven systems, especially ML-enabled systems.

Andreas Vogelsang holds the chair for Software and Systems Engineering. He received his PhD from TU Munich in 2015 and was Junior Professor for Automotive Software Engineering at TU Berlin from mid-2016 to mid-2020 as well as Head of the Software Engineering Department at the Daimler Center for Automotive IT Innovations. In 2018, he was named a Junior-Fellow of the Gesellschaft für Informatik (GI), and in 2019, he was named "Young Scientist of the Year" by academics and the DHV.

Feature dependencies extracted from automotive software architectures

Selected publications

  1. X. Franch, D. Mendez, A. Vogelsang, et al. "How do Practitioners Perceive the Relevance of Requirements Engineering Research?". IEEE Transactions on Software Engineering (TSE). 2020.
  2. F. Pudlitz, F. Brokhausen, A. Vogelsang. "What Am I Testing and Where? Comparing Testing Procedures based on Lightweight Requirements Annotations". Empirical Software Engineering (EMSE). 2020.
  3. A. Vogelsang, J. Eckhardt, D. Mendez, M. Berger. "Views on Quality Requirements in Academia and Practice: Commonalities, Differences, and Context-Dependent Grey Areas". Information and Software Technology (IST). 2020.
  4. A. Vogelsang. "Feature Dependencies in Automotive Software Systems: Extent, Awareness, and Refactoring". Journal of Systems and Software (JSS). 2019.
  5. H. Femmer, A. Vogelsang. "Requirements Quality is Quality in Use". IEEE Software. 2019.
  6. J. Fischbach, A. Vogelsang, D. Spies, A. Wehrle, M. Junker, D. Freudenstein. "SPECMATE: Automated Creation of Test Cases from Acceptance Criteria". 13th IEEE International Conference on Software Testing, Validation and Verification (ICST). 2020.
  7. F. Wiesweg, A. Vogelsang, D. Mendez. "Data-driven Risk Management for Requirements Engineering: An Automated Approach based on Bayesian Networks". 28th IEEE International Requirements Engineering Conference (RE).
  8. J. Winkler, J. Grönberg, A. Vogelsang. "Predicting How to Test Requirements: An Automated Approach". 27th IEEE International Requirements Engineering Conference (RE).
  9. P. Ebel, I. E. Göl, C. Lingenfelder, A. Vogelsang. "Destination Prediction Based on Partial Trajectory Data". 31st IEEE Intelligent Vehicles Symposium (IV).
  10. A. Vogelsang, M. Borg. "Requirements Engineering for Machine Learning: Perspectives from Data Scientists". 6th International Workshop on Artificial Intelligence for Requirements Engineering (AIRE). 2019.