Aug. 11, 2023, 6:43 a.m. | Armin Moin, Atta Badii, Stephan Günnemann, Moharram Challenger

cs.LG updates on arXiv.org arxiv.org

Several architecture frameworks for software, systems, and enterprises have
been proposed in the literature. They identified various stakeholders and
defined architecture viewpoints and views to frame and address stakeholder
concerns. However, the stakeholders with data science and Machine Learning (ML)
related concerns, such as data scientists and data engineers, are yet to be
included in existing architecture frameworks. Therefore, they failed to address
the architecture viewpoints and views responsive to the concerns of the data
science community. In this paper, …

architecture arxiv cyber data data science data scientists enterprises frameworks literature machine machine learning science scientists smart software stakeholder stakeholders system architecture systems

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