Dr. Max Weber
Finished 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.
- Max Weber, Alina Mailach, Sven Apel, Janet Siegmund, Raimund Dachselt, and Norbert Siegmund. Understanding Debugging as Episodes: A Case Study on Performance Bugs in Configurable Software Systems. ACM International Conference on the Foundations of Software Engineering (FSE), June, 2025.
2024
- Max Weber, Christian Kaltenecker, Florian Sattler, Sven Apel, and Norbert Siegmund. Is Performance a Reliable Proxy for Energy Consumption? Software Engineering 2024 (SE 2024).
2023
- Max Weber, Christian Kaltenecker, Florian Sattler, Sven Apel, and Norbert Siegmund. Twins or False Friends? A Study on Energy Consumption and Performance of Configurable Software. In Proceedings of the International Conference on Software Engineering (ICSE). IEEE, May, 2023. Acceptance rate: 26% (209 / 796).
- Max Weber, Christian Kaltenecker, Florian Sattler, Sven Apel, and Norbert Siegmund. Twins or False Friends? A Study on Energy Consumption and Performance of Configurable Software (Replication Package). In Proceedings of the International Conference on Software Engineering (ICSE). IEEE, May, 2023.
2022
- Norbert Siegmund, Johannes Dorn, Max Weber, Christian Kaltenecker, and Sven Apel. Green Configuration: Can AI Help in Reducing Energy Consumption of Configurable Software Systems? IEEE Computer, 2022.
2021
- Max Weber, Sven Apel, and Norbert Siegmund. White-Box Performance-Influence Models: A Profiling and Learning Approach. In Proceedings of the International Conference on Software Engineering (ICSE). IEEE, May, 2021. Acceptance rate: 23% (138 / 602).
- Max Weber, Sven Apel, and Norbert Siegmund. White-Box Performance-Influence Models: A Profiling and Learning Approach (Replication Package). In Proceedings of the International Conference on Software Engineering: Companion Proceedings (ICSE-Companion). IEEE, May, 2021.
Talks
- FSE 2025: Understanding Debugging as Episodes: A Case Study on Performance Bugs in Configurable Software Systems
- FSE 2025: FAMLEM, the FAst ModuLar Energy Meter at Code Level
- SE 2024: Is Performance a reliable Proxy for Energy Consumption?
- ICSE 2023: Twins or False Friends? A Study on Energy Consumption and Performance of Configurable Software
- Saarbrücken 2023: Green Configuration: White-Box Analysis for Modeling and Debugging Energy Consumption of Configurable Software
- FOSD 2022: SoftVR: Immersive Performance Bug Detection
- ICSE 2021: White-Box Performance-Influence Models: A Profiling and Learning Approach
- FOSD 2021: The Relation of Energy Consumption and Performance
- FOSD 2019: Black-Box Performance-Influence Models on Method Level
- FOSD 2018: Supporting the Discovery of Performance Hot-Spots