Norbert Siegmund
Universität Leipzig
H-index: 37
Europe-Germany
Top articles of Norbert Siegmund
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Performance Sensitivity Across Configuration and Workload | Stefan Mühlbauer Florian Sattler Christian Kaltenecker Johannes Dorn Sven Apel | 2024 | |
Is Performance a Reliable Proxy for Energy Consumption? | Max Weber Christian Kaltenecker Florian Sattler Sven Apel Norbert Siegmund | 2024 | |
Socio-Technical Challenges and Recommendations for Mitigation when Building ML-Enabled Systems | Alina Mailach Norbert Siegmund | 2024 | |
Twins or false friends? a study on energy consumption and performance of configurable software | Max Weber Christian Kaltenecker Florian Sattler Sven Apel Norbert Siegmund | 2023/5/14 | |
Analysing the Impact of Workloads on Modeling the Performance of Configurable Software Systems | Stefan Mühlbauer Florian Sattler Christian Kaltenecker Johannes Dorn Sven Apel | 2023/5/14 | |
Performance evolution of configurable software systems: an empirical study | Empirical Software Engineering | Christian Kaltenecker Stefan Mühlbauer Alexander Grebhahn Norbert Siegmund Sven Apel | 2023/11 |
CfgNet: A Framework for Tracking Equality-Based Configuration Dependencies Across a Software Project | IEEE Transactions on Software Engineering | Sebastian Simon Nicolai Ruckel Norbert Siegmund | 2023/5/8 |
Seal: Integrating program analysis and repository mining | ACM Transactions on Software Engineering and Methodology | Florian Sattler Sebastian Böhm Philipp Dominik Schubert Norbert Siegmund Sven Apel | 2023/7/24 |
VEER: enhancing the interpretability of model-based optimizations | Empirical Software Engineering | Kewen Peng Christian Kaltenecker Norbert Siegmund Sven Apel Tim Menzies | 2023/5 |
Exploring Hyperparameter Usage and Tuning in Machine Learning Research | Sebastian Simon Nikolay Kolyada Christopher Akiki Martin Potthast Benno Stein | 2023/5/15 | |
Socio-technical anti-patterns in building ML-enabled software: insights from leaders on the forefront | Alina Mailach Norbert Siegmund | 2023/5/14 | |
Green configuration: Can artificial intelligence help reduce energy consumption of configurable software systems? | Computer | Norbert Siegmund Johannes Dorn Max Weber Christian Kaltenecker Sven Apel | 2022/3/15 |
On debugging the performance of configurable software systems: Developer needs and tailored tool support | Miguel Velez Pooyan Jamshidi Norbert Siegmund Sven Apel Christian Kästner | 2022/5/21 | |
White-box performance-influence models: A profiling and learning approach | Max Weber Sven Apel Norbert Siegmund | 2021/5/22 | |
White-box analysis over machine learning: Modeling performance of configurable systems | Miguel Velez Pooyan Jamshidi Norbert Siegmund Sven Apel Christian Kästner | 2021/5/22 | |
Lightweight, semi-automatic variability extraction: a case study on scientific computing | Empirical Software Engineering | Alexander Grebhahn Christian Kaltenecker Christian Engwer Norbert Siegmund Sven Apel | 2021/3 |
Dimensions of Software Configuration | Norbert Siegmund Nicolai Ruckel Janet Siegmund | 2020 | |
Identifying software performance changes across variants and versions | Stefan Mühlbauer Sven Apel Norbert Siegmund | 2020/12/21 | |
Configcrusher: Towards white-box performance analysis for configurable systems | Automated Software Engineering | Miguel Velez Pooyan Jamshidi Florian Sattler Norbert Siegmund Sven Apel | 2020/12 |
Dimensions of software configuration: on the configuration context in modern software development | Norbert Siegmund Nicolai Ruckel Janet Siegmund | 2020/11/8 |
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