%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 %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 = {}, 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 }