David Georg Reichelt

According to our database, David Georg Reichelt authored at least 18 papers between 2014 and 2023.

Collaborative distances:

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

2023

Untersuchung von Performanzveränderungen auf Quelltextebene.

David Georg Reichelt

PhD thesis, 2023

Engineering Software Systems for Quantum Computing as a Service: A Mapping Study.

Aakash Ahmad, Muhammad Waseem, Peng Liang, Mahdi Fahmideh, Arif Ali Khan, David Georg Reichelt, Tommi Mikkonen

CoRR, 2023

Towards Solving the Challenge of Minimal Overhead Monitoring.

David Georg Reichelt, Stefan Kühne, Wilhelm Hasselbring

Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

2022

Automated Identification of Performance Changes at Code Level.

David Georg Reichelt, Stefan Kühne, Wilhelm Hasselbring

Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

2021

Overhead Comparison of OpenTelemetry, inspectIT and Kieker.

David Georg Reichelt, Stefan Kühne, Wilhelm Hasselbring

Proceedings of the Short Paper Proceedings of Symposium on Software Performance 2021, 2021

Testselektion für Performanzregressionsbenchmarks in CI-Prozessen.

David Georg Reichelt, Stefan Kühne, Wilhelm Hasselbring

Proceedings of the 51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer Science & Sustainability, Berlin, Germany, 27. September, 2021

2020

Vision of Continuously Asuring Performance.

David Georg Reichelt, Stefan Kühne, Wilhelm Hasselbring

Softwaretechnik-Trends, 2020

Towards an Infrastructure for Energy Model Computation and Linkage.

David Georg Reichelt, Stefan Kühne, Fabian Scheller, Daniel Abitz, Simon Johanning

Proceedings of the 50. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2020 - Back to the Future, Karlsruhe, Germany, 28. September, 2020

2019

On the Validity of Performance Antipatterns at Code Level.

David Georg Reichelt, Stefan Kühne, Wilhelm Hasselbring

Softwaretechnik-Trends, 2019

PeASS: A Tool for Identifying Performance Changes at Code Level.

David Georg Reichelt, Stefan Kühne, Wilhelm Hasselbring

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

2018

How to Detect Performance Changes in Software History: Performance Analysis of Software System Versions.

David Georg Reichelt, Stefan Kühne

Proceedings of the Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

Better Early Than Never: Performance Test Acceleration by Regression Test Selection.

David Georg Reichelt, Stefan Kühne

Proceedings of the Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

2016

Empirical Analysis of Performance Problems on Code Level.

David Georg Reichelt, Stefan Kühne

Proceedings of the 7th ACM/SPEC International Conference on Performance Engineering, 2016

2015

Improving Performance Analysis of Software System Versions Using Change-Based Test Selection.

David Georg Reichelt, Fabian Scheller

Softwaretechnik-Trends, 2015

Performanzanalyse von Softwaresystemversionen: Methode und erste Ergebnisse.

David Georg Reichelt, Johannes Schmidt

Proceedings of the Software Engineering & Management 2015, Multikonferenz der GI-Fachbereiche Softwaretechnik (SWT) und Wirtschaftsinformatik (WI), FA WI-MAW, 17. März, 2015

Projekt Altägyptische Wörterbücher im Verbund: Digital unterstütze Analyse der Entwicklung ägyptischer Wörterbücher.

David Georg Reichelt, Marc Brose, Maximilian Bryan, Gunnar Sperveslage, Peter Dils

Proceedings of the 2. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2015

2014

Sicherstellung von Performanzeigenschaften durch kontinuierliche Performanztests mit dem KoPeMe Framework.

David Georg Reichelt, Lars Braubach

Proceedings of the Software Engineering 2014, Fachtagung des GI-Fachbereichs Softwaretechnik, 25. Februar, 2014

Berücksichtigung von Softwareperformanz im Entwicklungsprozess.

David Georg Reichelt

Proceedings of the 44. Jahrestagung der Gesellschaft für Informatik, Big Data, 2014