Follow
Sebastian Kotstein
Sebastian Kotstein
PhD Student, Herman Hollerith Zentrum, Reutlingen University
Verified email at reutlingen-university.de - Homepage
Title
Cited by
Cited by
Year
Which restful api design rules are important and how do they improve software quality? a delphi study with industry experts
S Kotstein, J Bogner
Service-Oriented Computing: 15th Symposium and Summer School, SummerSOC 2021 …, 2021
132021
Reinforcement learning for IoT interoperability
S Kotstein, C Decker
2019 IEEE international conference on software architecture companion (ICSA …, 2019
82019
Do RESTful API design rules have an impact on the understandability of Web APIs?
J Bogner, S Kotstein, T Pfaff
Empirical software engineering 28 (6), 132, 2023
52023
A survey on smartphone features relevant for reality mining
DG Geisse, I John, S Kotstein
Gesellschaft für Informatik eV, 2016
22016
Reality mining in sensor-based mobile-driven environments
DG Geise, I John, S Kotstein
Gesellschaft für Informatik eV, 2016
22016
Semantic parameter matching in Web APIs with Transformer-based question answering
S Kotstein, C Decker
2023 IEEE International Conference on Service-Oriented System Engineering …, 2023
12023
Navigational support for non HATEOAS-compliant web-based APIs
S Kotstein, C Decker
Service-Oriented Computing: 14th Symposium and Summer School on Service …, 2020
12020
An approach for measuring IoT interoperability using causal modeling
SKC Decker
Intelligent Environments 2019: Workshop Proceedings of the 15th …, 2019
12019
RESTRuler: Towards Automatically Identifying Violations of RESTful Design Rules in Web APIs
J Bogner, S Kotstein, D Abajirov, T Ernst, M Merkel
arXiv preprint arXiv:2402.13710, 2024
2024
RESTBERTa: a Transformer-based question answering approach for semantic search in Web API documentation
S Kotstein, C Decker
Cluster Computing, 1-27, 2024
2024
Do RESTful API Design Rules Have an Impact on the Understandability of Web APIs? A Web-Based Experiment with API Descriptions
J Bogner, S Kotstein, T Pfaff
arXiv preprint arXiv:2305.07346, 2023
2023
Deep reinforcement learning for IoT interoperability
S Klöser, S Kotstein, R Reuben, T Zerrer, C Decker
Advances in Automotive Production Technology–Theory and Application …, 2021
2021
Reality Mining in Sensor-based Mobile-driven
DG Geisse, I John, S Kotstein
The system can't perform the operation now. Try again later.
Articles 1–13