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Towards a Common Testing Terminology for Software Engineering and Data Science Experts
International Conference on Product Focused Software Process Improvement (PROFES), 2021
31 August 2021
Lisa Jöckel
T. Bauer
Michael Kläs
Marc P. Hauer
Janek Groß
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Papers citing
"Towards a Common Testing Terminology for Software Engineering and Data Science Experts"
5 / 5 papers shown
Scalability and Maintainability Challenges and Solutions in Machine Learning: Systematic Literature Review
Karthik Shivashankar
Ghadi S. Al Hajj
Antonio Martini
435
3
0
15 Apr 2025
Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems
Djalel Benbouzid
Christiane Plociennik
Laura Lucaj
Mihai Maftei
Iris Merget
A. Burchardt
Marc P. Hauer
Abdeldjallil Naceri
Patrick van der Smagt
MLAU
207
0
0
21 May 2024
Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning
International Conference on Product Focused Software Process Improvement (PROFES), 2023
Lisa Jöckel
Michael Kläs
Janek Groß
Pascal Gerber
Markus Scholz
...
Marc Teschner
Daniel Seifert
Richard Hawkins
John Molloy
Jens Ottnad
180
1
0
08 Dec 2023
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning
Janek Groß
Michael Kläs
Lisa Jöckel
Pascal Gerber
201
2
0
24 May 2023
Integrating Testing and Operation-related Quantitative Evidences in Assurance Cases to Argue Safety of Data-Driven AI/ML Components
Michael Kläs
Lisa Jöckel
R. Adler
Jan Reich
174
5
0
10 Feb 2022
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