Johannes Dorn

According to our database, Johannes Dorn authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

A Methodology for Evaluating RAG Systems: A Case Study On Configuration Dependency Validation.

Sebastian Simon, Alina Mailach, Johannes Dorn, Norbert Siegmund

CoRR, 2024

Performance Sensitivity Across Configuration and Workload.

Stefan Mühlbauer, Florian Sattler, Christian Kaltenecker, Johannes Dorn, Sven Apel, Norbert Siegmund

Proceedings of the Software Engineering 2024, Fachtagung des GI-Fachbereichs Softwaretechnik, Linz, Austria, February 26, 2024

2023

Mastering uncertainty in performance estimations of configurable software systems.

Johannes Dorn, Sven Apel, Norbert Siegmund

Empir. Softw. Eng., March, 2023

Analyzing the Impact of Workloads on Modeling the Performance of Configurable Software Systems (Supplementary Material).

Stefan Mühlbauer, Florian Sattler, Christian Kaltenecker, Johannes Dorn, Sven Apel, Norbert Siegmund

Dataset, January, 2023

Analyzing the Impact of Workloads on Modeling the Performance of Configurable Software Systems (Supplementary Material).

Stefan Mühlbauer, Florian Sattler, Christian Kaltenecker, Johannes Dorn, Sven Apel, Norbert Siegmund

Dataset, January, 2023

Analyzing the Impact of Workloads on Modeling the Performance of Configurable Software Systems (Supplementary Material).

Stefan Mühlbauer, Florian Sattler, Christian Kaltenecker, Johannes Dorn, Sven Apel, Norbert Siegmund

Dataset, January, 2023

Analysing the Impact of Workloads on Modeling the Performance of Configurable Software Systems.

Stefan Mühlbauer, Florian Sattler, Christian Kaltenecker, Johannes Dorn, Sven Apel, Norbert Siegmund

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

Green Configuration: Can Artificial Intelligence Help Reduce Energy Consumption of Configurable Software Systems?

Norbert Siegmund, Johannes Dorn, Max Weber, Christian Kaltenecker, Sven Apel

Computer, 2022

2020

Generating attributed variability models for transfer learning.

Johannes Dorn, Sven Apel, Norbert Siegmund

Proceedings of the VaMoS '20: 14th International Working Conference on Variability Modelling of Software-Intensive Systems, 2020