Dr. Stefan Mühlbauer

Thesis Supervision

Finished

„Learning to Predict Software Performance Code Changes based on Microbenchmarks“, Master, 2024
„Entwicklung eines IDE-Plugins zur Analyse von Software-Entwicklungszyklen“, Master, 2023
„Gruppenbasierte Sensitivitätsanalyse für die Vorhersage nicht-funktionaler Eigenschaften konfigurierbar Softwaresysteme“, Bachelor, 2022
„Group Sampling for Learning Configuration-specific Software Performance“, Bachelor, 2022
„Sampling mittels Vorwissen für die
Performanceanalyse von konfigurierbaren Softwaresystemen“, Bachelor, 2021
„Abdeckungsanalyse von konfigurierbaren Performance-Benchmarks und Softwaresystemen“, Bachelor, 2021

Courses/TA

Summer 2022: Software Engineering for AI-enabled Systems (Master)
Winter 21/22: Software Engineering Lab (Bachelor)
Summer 2020: Configurable Software Systems (Bachelor)
Summer 2019: Software Product Line Engineering (Bauhaus University Weimar, Master)

Publications

Johannes Dorn,Stefan Mühlbauer, Stefan Jahns, Sven Apel, and Norbert Siegmund.Bayesian Multi-Level Performance Models for Multi-Factor Variability of Configurable Software Systems. In Proceedings of the International Conference on Software Engineering 2026 (ICSE ’26), to appear.
Stefan Mühlbauer, Florian Sattler, Christian Kaltenecker, Johannes Dorn, Sven Apel, and Norbert Siegmund.“Performance Sensitivity Across Configuration and Workload.“ Software Engineering 2024 (SE 2024). Gesellschaft für Informatik eV, 2024.
Stefan Mühlbauer, Florian Sattler, Christian Kaltenecker, Johannes Dorn, Sven Apel, and Norbert Siegmund. Analyzing the Impact of Workloads on Modeling the Performance of Configurable Software Systems. In Proceedings of the International Conference on Software Engineering (ICSE), pages 2089–2101. IEEE, May, 2023.
Christian Kaltenecker, Stefan Mühlbauer, Alexander Grebhahn, Norbert Siegmund, and Sven Apel. Performance Evolution of Configurable Software Systems: An Empirical Study. Empirical Software Engineering (EMSE), 2023. To appear.
Stefan Mühlbauer, Sven Apel, and Norbert Siegmund: Identifying Software Performance Changes Across Variants and Versions (Extended Abstract). In Software Engineering 2022: pp. 77-78.
Stefan Mühlbauer, Sven Apel, and Norbert Siegmund: Accurate Modeling of Performance Histories for Evolving Software Systems (Extended Abstract). In Software Engineering 2021, pp. 79-80.
Stefan Mühlbauer, Sven Apel, and Norbert Siegmund. Identifying Software Performance Changes Across Variants and Versions. Proceedings of the IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 611–622. ACM, 2020.
Stefan Mühlbauer, Sven Apel, and Norbert Siegmund. Accurate Modeling of Performance Histories for Evolving Software Systems. In: Proceedings of the IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 640–652. IEEE, 2019.

Talks/Conferences

ICSE 2023: (May 19, 2023, Melbourne, Australia)
FOSD 2023: (March 27-31, 2023, Ulm, Germany)
SE 2022: „Identifying Software Performance Changes Across Variants and Versions“ (February 21-25, 2022, Virtual Event hosted in Berlin, Germany)
VariVolution 2021: Keynote: „Performance Evolution in Configurable Systems“ (September 7, 2021, Virtual Event hosted in Leicester, UK)
FOSD 2021: „Workload Representativeness Estimation for Performance-Prediction Models“ (April 13-15, 2021, Virtual Event hosted by WU Vienna, Austria)
SE 2021: „Accurate Modeling of Software Performance Histories“ (February 22-26, 2021, Virtual Event hosted by TU Braunschweig, Germany)
ASE 2020: „Identifying Software Performance Changes Across Variants and Versions“ (September 21-25, 2020, Virtual Event hosted in Melbourne, Australia)
ASE 2019: „Accurate Modeling of Software Performance Histories“ (November 10-15, 2019, San Diego, USA)
FOSD 2019: „Efficient Modeling of Software Performance Histories“ (March 12-16, 2019, Weimar, Germany)