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2020 – today
- 2024
[c7]Stefan Fischer
, Pirmin Urbanke, Rudolf Ramler, Monika Steidl, Michael Felderer:
An Overview of Microservice-Based Systems Used for Evaluation in Testing and Monitoring: A Systematic Mapping Study. AST@ICSE 2024: 182-192- [c6]Monika Steidl, Rudolf Ramler, Michael Felderer:
The Past, Present, and Future of Research on the Continuous Development of AI. SEAA 2024: 300-308 - [c5]Monika Steidl, Benedikt Dornauer, Michael Felderer, Rudolf Ramler, Mircea-Cristian Racasan, Marko Gattringer:
How Industry Tackles Anomalies during Runtime: Approaches and Key Monitoring Parameters. SEAA 2024: 364-372 - [c4]Monika Steidl, Michael Leitner, Pirmin Urbanke, Marko Gattringer, Michael Felderer, Sashko Ristov:
Understanding Microservice Runtime Monitoring Data for Anomaly Detection with Structural Equation Modeling. PROFES 2024: 404-413 - [i2]Monika Steidl, Benedikt Dornauer, Michael Felderer, Rudolf Ramler, Mircea-Cristian Racasan, Marko Gattringer:
How Industry Tackles Anomalies during Runtime: Approaches and Key Monitoring Parameters. CoRR abs/2408.07816 (2024) - 2023
- [j1]Monika Steidl, Michael Felderer, Rudolf Ramler:
The pipeline for the continuous development of artificial intelligence models - Current state of research and practice. J. Syst. Softw. 199: 111615 (2023) - [c3]Monika Steidl, Valentina Golendukhina, Michael Felderer, Rudolf Ramler:
Automation and Development Effort in Continuous AI Development: A Practitioners' Survey. SEAA 2023: 120-127 - [d3]Monika Steidl, Rudolf Ramler, Michael Felderer:
Replication Package and Results: A Tertiary Study on the Continuous Development of AI. Zenodo, 2023
- [i1]Monika Steidl, Michael Felderer, Rudolf Ramler:
The Pipeline for the Continuous Development of Artificial Intelligence Models - Current State of Research and Practice. CoRR abs/2301.09001 (2023) - 2022
- [c2]Monika Steidl, Marko Gattringer, Michael Felderer, Rudolf Ramler, Mostafa Shahriari:
Requirements for Anomaly Detection Techniques for Microservices. PROFES 2022: 37-52 - [d2]Monika Steidl, Michael Felderer, Rudolf Ramler:
Multivocal Literature Review & Interviews: Continuous End-to-End Lifecycle Management Pipeline for Artificial Intelligence. Version 1. Zenodo, 2022 [all versions] - [d1]Monika Steidl, Michael Felderer, Rudolf Ramler:
Multivocal Literature Review & Interviews: Continuous End-to-End Lifecycle Management Pipeline for Artificial Intelligence. Version 1. Zenodo, 2022 [all versions] - 2020
- [c1]Monika Steidl, Ruth Breu, Benedikt Hupfauf:
Challenges in Testing Big Data Systems. SWQD 2020: 13-27
Coauthor Index
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