Performance analysis and energy consumption optimization
Configurable software systems
Energy bug detection
Thesis Supervision
I supervise undergraduate and graduate theses aligned with my research interests. If my research areas resonate with you and you’re considering writing your thesis in this field, feel free to reach out!
Finished and ongoing theses
[Master] Influence of Virtualization on Energy Models
[Bachelor] A Practical Guide for Energy Measurements in Virtual Environments
[Bachelor] Code-Level Energy Consumption in DevOps Pipelines on Virtualized Systems
[Bachelor] Configuring a DevOps Pipeline: Energy Consumption and Optimization Opportunities
[Master] Evaluation of Active Learning for Comprehending Feature Influences on Energy Consumption of Configurable Software Systems: A Function-Level Analysis
[Bachelor] The Con guration Space of Machine Learning and its Impact on Energy Consumption, Accuracy, and Performance
[Master] Transfer Learning für feingranulare Energiemodelle konfigurierbarer Softwaresysteme
[Bachelor] SoftVR: Finding Energy Bugs in Configurable Software Systems
[Bachelor] Feingranulare Energiemodelle auf Methodenebene
[Bachelor] Analyse von Energiemessungen zur Erstellung eines Energie-Benchmarks
[Bachelor] Energy Consumption in Practice
[Bachelor] Tailoring Your VR Experience For Understanding Software Systems
Publications
2025
Max Weber, Johannes Dorn, Sven Apel, and Norbert Siegmund. FAMLEM, the FAst ModuLar Energy Meter at Code Level. ACM International Conference on the Foundations of Software Engineering (FSE), Tool Demonstration, June, 2025. to appear.
