Towards A Methodological Framework for Production-ready AI-based Software Components
M. Haug, and J. Bogner. 2022 IEEE/ACM 1st International Conference on AI Engineering – Software Engineering for AI (CAIN), page 35--36. ACM, (May 2022)
DOI: 10.1145/3522664.3528616
Abstract
AI-based software systems have seen more widespread production deployment in recent years. However, many challenges currently complicate the integration of AI-based software components into production systems, and their operation and maintenance remains complex. In this research proposal, we summarize these challenges and propose a framework that enables the efficient design, integration, and operation of AI components.
%0 Conference Paper
%1 Haug2022
%A Haug, Markus
%A Bogner, Justus
%B 2022 IEEE/ACM 1st International Conference on AI Engineering – Software Engineering for AI (CAIN)
%D 2022
%I ACM
%K iste-se myown
%P 35--36
%R 10.1145/3522664.3528616
%T Towards A Methodological Framework for Production-ready AI-based Software Components
%X AI-based software systems have seen more widespread production deployment in recent years. However, many challenges currently complicate the integration of AI-based software components into production systems, and their operation and maintenance remains complex. In this research proposal, we summarize these challenges and propose a framework that enables the efficient design, integration, and operation of AI components.
@inproceedings{Haug2022,
abstract = {AI-based software systems have seen more widespread production deployment in recent years. However, many challenges currently complicate the integration of AI-based software components into production systems, and their operation and maintenance remains complex. In this research proposal, we summarize these challenges and propose a framework that enables the efficient design, integration, and operation of AI components.},
added-at = {2022-11-03T10:34:04.000+0100},
author = {Haug, Markus and Bogner, Justus},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2d6961086987028a2d60d5c686fb3943d/justusbogner},
booktitle = {2022 {{IEEE}}/{{ACM}} 1st {{International Conference}} on {{AI Engineering}} \textendash{} {{Software Engineering}} for {{AI}} ({{CAIN}})},
copyright = {All rights reserved},
doi = {10.1145/3522664.3528616},
interhash = {8a1145f89e392ff91c9900b9898f256b},
intrahash = {d6961086987028a2d60d5c686fb3943d},
keywords = {iste-se myown},
month = may,
pages = {35--36},
publisher = {{ACM}},
timestamp = {2022-11-03T09:34:04.000+0100},
title = {Towards {{A Methodological Framework}} for {{Production-ready AI-based Software Components}}},
year = 2022
}