Thomas Schwitalla

Orcid: 0000-0002-0286-1686

According to our database1, Thomas Schwitalla authored at least 10 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
LLMs in the Heart of Differential Testing: A Case Study on a Medical Rule Engine.
CoRR, 2024

2023
EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Automated Test Generation for Medical Rules Web Services: A Case Study at the Cancer Registry of Norway.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Cost Reduction on Testing Evolving Cancer Registry System.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

Challenges of Testing an Evolving Cancer Registration Support System in Practice.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

2017
Hazel Hen - leading HPC technology and its impact on science in Germany and Europe.
Parallel Comput., 2017

RCIA: Automated Change Impact Analysis to Facilitate a Practical Cancer Registry System.
Proceedings of the 2017 IEEE International Conference on Software Maintenance and Evolution, 2017

2014
Usability on a shareable interface in a multiuser setting.
Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, 2014

2013
High-Resolution Climate Predictions and Short-Range Forecasts to Improve the Process Understanding and the Representation of Land-Surface Interactions in the WRF Model in Southwest Germany (WRFCLIM).
Proceedings of the High Performance Computing in Science and Engineering '13, 2013

2011
High-Resolution Climate Predictions and Short-Range Forecasts to Improve the Process Understanding and the Representation of Land-Surface Interactions in the WRF Model in Southwest Germany (WRFCLIM).
Proceedings of the High Performance Computing in Science and Engineering '11, 2011


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