Johannes Dorn

Leipzig University
Chair of Software Systems
Augustusplatz 10
04109 Leipzig


Room: Phone: E-mail:	P624 (Paulinum) +49 (0) 341 97 323 93 jdorn@informatik.uni-leipzig.de

WS 2022/23

SoSe 2021/22

WS 2020/21

SoSe 2020

Currently ongoing theses
- Evaluation von Performance-Einflüssen von Softwareoptionsen unter variierender Hardware (Bachelor)
Finished theses
- Entwicklung eines Active Learning Ansatzes auf Basis von Modell-Unsicherheiten (Bachelor)
- Reproducibility in Search-Based Software Engineering (Master)
- Generating Realistic Attributed Variability Models via Multi-Objective Optimization (Bachelor)

2023

Johannes Dorn, Sven Apel, and Norbert Siegmund. Mastering Uncertainty in Performance Estimations of Configurable Software Systems. Empirical Software Engineering (EMSE) 28, 33 (2023).
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). IEEE, May, 2023. Acceptance rate: 26% (209 / 796), to appear.

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, Volume 55 , Issue 3, 2022.

2020

J. Dorn, S. Apel, and N. Siegmund. Mastering Uncertainty in Performance Estimations of Configurable Software Systems. In Proceedings of Automated Software Engineering (ASE), 2020. Acceptance rate (full papers): 22.5% (93 / 408).
J. Dorn, S. Apel, and N. Siegmund. Generating Attributed Variability Models for Transfer Learning. In Proceedings of the 14th International Working Conference on Variability Modelling of Software-Intensive Systems (VaMoS), pages 1–8. ACM, 2020.