There is an increasing interest in research on the combination of AI techniques and methods with MDE. However, there is a gap between AI and MDE practices, as well as between researchers and practitioners. This paper tackles this gap by reporting on industrial requirements in this field. In the AIDOaRt research project, practitioners and researchers collaborate on AI-augmented automation supporting modeling, coding, testing, monitoring, and continuous development in cyber-physical systems. The project specifically lies at the intersection of industry and academia collaboration with several industrial use cases. Through a process of elicitation and refinement, 78 high-level requirements were defined, and generalized into 30 generic requirements by the AIDOaRt partners. The main contribution of this paper is the set of generic requirements from the project for enhancing the development of cyber-physical systems with artificial intelligence, DevOps, and model-driven engineering, identifying the hot spots of industry needs in the interactions of MDE and AI. Future work will refine, implement and evaluate solutions toward these requirements in industry contexts.
翻译:在AIDOaRt的研究项目中,从业人员和研究人员就AI强化自动化支持网络物理系统的建模、编码、测试、监测和持续发展进行合作。该项目具体地存在于工业和学术界合作与若干工业使用案例的交叉点上。通过引证和完善过程,AIDOaRt伙伴界定了78项高级别要求,将其普遍化为30项一般性要求。本文件的主要贡献是该项目的一套一般性要求,即加强开发与人工智能、DevOps和模型驱动工程的网络物理系统,确定MDE和AI相互作用中的工业需求热点。今后的工作将完善、实施和评价工业环境中满足这些要求的解决办法。