The pipeline for the continuous development of artificial intelligence models—Current state of research and practice M Steidl, M Felderer, R Ramler Journal of Systems and Software 199, 111615, 2023 | 68 | 2023 |
Requirements for anomaly detection techniques for microservices M Steidl, M Gattringer, M Felderer, R Ramler, M Shahriari International Conference on Product-Focused Software Process Improvement, 37-52, 2022 | 7 | 2022 |
An overview of microservice-based systems used for evaluation in testing and monitoring: a systematic mapping study S Fischer, P Urbanke, R Ramler, M Steidl, M Felderer Proceedings of the 5th ACM/IEEE International Conference on Automation of …, 2024 | 6 | 2024 |
Automation and development effort in continuous ai development: A practitioners’ survey M Steidl, V Golendukhina, M Felderer, R Ramler 2023 49th Euromicro Conference on Software Engineering and Advanced …, 2023 | 6 | 2023 |
Challenges in Testing Big Data Systems: An Exploratory Survey M Steidl, R Breu, B Hupfauf Software Quality: Quality Intelligence in Software and Systems Engineering …, 2020 | 3 | 2020 |
Understanding Microservice Runtime Monitoring Data for Anomaly Detection with Structural Equation Modeling M Steidl, M Leitner, P Urbanke, M Gattringer, M Felderer, S Ristov International Conference on Product-Focused Software Process Improvement …, 2024 | | 2024 |
The Past, Present, and Future of Research on the Continuous Development of AI M Steidl, R Ramler, M Felderer 2024 50th Euromicro Conference on Software Engineering and Advanced …, 2024 | | 2024 |
How Industry Tackles Anomalies during Runtime: Approaches and Key Monitoring Parameters M Steidl, B Dornauer, M Felderer, R Ramler, MC Racasan, M Gattringer 2024 50th Euromicro Conference on Software Engineering and Advanced …, 2024 | | 2024 |
System Tests for Big Data Applications-Real Life Problems and Solutions R Breu, M Steidl | | |