PAISE® - process model for AI systems engineering

被引:2
|
作者
Hasterok, Constanze [1 ]
Stompe, Janina [2 ]
机构
[1] Fraunhofer IOSB, Dept Informat Management & Prod Control, Karlsruhe, Germany
[2] Fraunhofer IOSB, Karlsruhe, Germany
关键词
AI systems engineering; artificial intelligence; systems engineering; process model; machine learning;
D O I
10.1515/auto-2022-0020
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The application of artificial-intelligence-(AI)-based methods within the context of complex systems poses new challenges within the product life cycle. The process model for AI systems engineering, PAISE((R)), addresses these challenges by combining approaches from the disciplines of systems engineering, software development and data science. The general approach builds on a component-wise development of the overall system including an AI component. This allows domain specific development processes to be parallelized. At the same time, component dependencies are tested within interdisciplinary checkpoints, thus resulting in a refinement of component specifications.
引用
收藏
页码:777 / 786
页数:10
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