TY - GEN
T1 - Enabling Machine Learning in Software Architecture Frameworks
AU - Moin, Armin
AU - Badii, Atta
AU - Gunnemann, Stephan
AU - Challenger, Moharram
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Several architecture frameworks for software, systems, and enterprises have been proposed in the literature. They have identified various stakeholders and defined architecture viewpoints and views to frame and address stakeholder concerns. However, the Machine Learning (ML) and data science-related concerns of data scientists and data engineers are yet to be included in existing architecture frameworks. We interviewed 65 experts from around 25 organizations in over ten countries to devise and validate the proposed framework that addresses the mentioned shortcoming.
AB - Several architecture frameworks for software, systems, and enterprises have been proposed in the literature. They have identified various stakeholders and defined architecture viewpoints and views to frame and address stakeholder concerns. However, the Machine Learning (ML) and data science-related concerns of data scientists and data engineers are yet to be included in existing architecture frameworks. We interviewed 65 experts from around 25 organizations in over ten countries to devise and validate the proposed framework that addresses the mentioned shortcoming.
KW - architecture frameworks
KW - machine learning
KW - qualitative research
KW - viewpoints
KW - views
UR - http://www.scopus.com/inward/record.url?scp=85165183618&partnerID=8YFLogxK
U2 - 10.1109/CAIN58948.2023.00021
DO - 10.1109/CAIN58948.2023.00021
M3 - Conference contribution
AN - SCOPUS:85165183618
T3 - Proceedings - 2023 IEEE/ACM 2nd International Conference on AI Engineering - Software Engineering for AI, CAIN 2023
SP - 92
EP - 93
BT - Proceedings - 2023 IEEE/ACM 2nd International Conference on AI Engineering - Software Engineering for AI, CAIN 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE/ACM International Conference on AI Engineering - Software Engineering for AI, CAIN 2023
Y2 - 15 May 2023 through 16 May 2023
ER -