Towards classes of architectural dependability assurance for machine-learning-based systems

Author:

Scheerer Max1,Klamroth Jonas1,Reussner Ralf1,Beckert Bernhard2

Affiliation:

1. FZI Research Center for Information Technology, Karlsruhe, Germany

2. Karlsruhe Institute of Technology, Karlsruhe, Germany

Publisher

ACM

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Architecting ML-enabled systems: Challenges, best practices, and design decisions;Journal of Systems and Software;2024-01

2. Design-time Performability Optimization of Runtime Adaptation Strategies;Companion of the 2022 ACM/SPEC International Conference on Performance Engineering;2022-07-14

3. Adapting Software Architectures to Machine Learning Challenges;2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2022-03

4. A software engineering perspective on engineering machine learning systems: State of the art and challenges;Journal of Systems and Software;2021-10

5. If a System is Learning to Self-adapt, Who's Teaching?;2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS);2021-05

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