Prof. Dr. Christian Decker
Informatik, insbesondere Software und Service Engineering
+49 7121 271 4105
christian.decker@reutlingen-university.de
https://cdeck3r.com
Gebäude HHZ, Böblingen, Raum 127/4
Nach Vereinbarung (Online & Präsenz)
- MSc Digital Business Engineering
- BSc Digital Business
- BSc und MSc Wirtschaftsinformatik
- Studiendekan MSc Digital Business Engineering
- Vorsitzender Prüfungsausschuss MSc Digital Business Engineering
- Verantwortlicher für die Lehre am Herman-Hollerith Lehr- und Forschungszentrum
- Internet of Things
- Computernetzwerke
- Software Engineering
Forschungsthemen
- Internet of Things (IoT)
- Data Products und Smart Data Service in datenintensiven Umgebungen
- Seit 2015 Professor für Software und Service Engineering an der Fakultät Informatik
- 2010-2015 Teamleiter Statistiksoftware und Fahrgastzählung, INIT GmbH Karlsruhe
- Doktor der Ingenieurwissenschaften (Dr.-Ing.)
- Diplom-Informatiker (Dipl.-Inform.)
Decker, Christian
2024 | |
| Kotstein, Sebastian; Decker, Christian (2024): RESTBERTa: a Transformer-based question answering approach for semantic search in Web API documentation. - In: Cluster computing : the journal of networks, software tools and applications 27 - S. 4035-4061. - DOI: https://doi.org/10.1007/s10586-023-04237-x | BibTeX | RIS DOIURN |
2023 | |
| Danner, Michael; Brake, Elena; Decker, Christian; Rätsch, Matthias; Kyosev, Yordan; Rose, Katerina (2023): Evaluation of low-cost 3D scanner hardware for clothing industry. - In: Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2023) : Volume 1, 13-15 November 2023, Rome, Italy. - Setúbal, Portugal : SciTePress. - S. 727-735. - ISBN: 978-989-758-670-5. - DOI: https://doi.org/10.5220/0012231800003543 | BibTeX | RIS DOIURN |
| Kotstein, Sebastian; Decker, Christian (2023): Semantic parameter matching in Web APIs with transformer-based question answering. - In: 17th IEEE International Conference on Service-Oriented System Engineering (SOSE 2023), 17-20 July 2023, Athens, Greece, proceedings. - Piscataway, NJ : IEEE. - S. 114-123. - ISBN: 979-8-3503-2239-2. - DOI: https://doi.org/10.1109/SOSE58276.2023.00020 | BibTeX | RIS DOI |
2021 | |
| Klöser, Sebastian; Kotstein, Sebastian; Reuben, Robin; Zerrer, Timo; Decker, Christian (2021): Deep reinforcement learning for IoT interoperability. - In: Advances in automotive production technology – theory and application : Stuttgart Conference on Automative Production (SCAP2020). - Berlin : Springer. - S. 195-204. - DOI: https://doi.org/10.1007/978-3-662-62962-8_23 | BibTeX | RIS DOI |
2020 | |
| Kotstein, Sebastian; Decker, Christian (2020): Navigational support for non HATEOAS-compliant web-based APIs. - In: Service-Oriented Computing : 14th Symposium and Summer School on Service-Oriented Computing, SummerSOC 2020, Crete, Greece, September 13-19, 2020, proceedings. - Cham : Springer. - S. 169-188. - DOI: https://doi.org/10.1007/978-3-030-64846-6_10 | BibTeX | RIS DOI |
2019 | |
| Kotstein, Sebastian; Decker, Christian (2019): An approach for measuring IoT interoperability using causal modeling. - In: Intelligent environments 2019 : workshop proceedings of the 15th International Conference on Intelligent Environments. - (Ambient intelligence and smart environments ser. ; v.26). - Amsterdam : IOP Publishing. - S. 170-179. - ISBN: 978-1-61499-983-6. - DOI: https://doi.org/10.3233/AISE190039 | BibTeX | RIS DOIURN |
| Kotstein, Sebastian; Decker, Christian (2019): Reinforcement learning for IoT interoperability. - In: 2019 IEEE International Conference on Software Architecture companion : ICSA-C 2019 : proceedings : 25-29 March 2019, Hamburg, Germany. - Piscataway, NJ : IEEE. - S. 11-18. - ISBN: 978-1-72811-876-5. - DOI: https://doi.org/10.1109/ICSA-C.2019.00010 | BibTeX | RIS DOI |
2016 | |
| (2016): Digital Enterprise Computing (DEC 2016) : Böblingen, Germany, June 14-15, 2016. - In: - Bonn : Gesellschaft für Informatik e.V. - 239 S. - ISBN: 978-3-88579-652-7. - URL: http://subs.emis.de/LNI/Proceedings/Proceedings258.html | BibTeX | RIS |
