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The primary objective of this paper is to examine the role of AI-augmented Automation in DevOps in enhancing the modeling of Cyber-Physical Systems (CPS). With the increasing complexity in the development and operation of CPS, there is a need for a more efficient engineering methodology. This paper aims to provide a deeper understanding of a model-based framework for effectively supporting the software and system engineering of large and complex CPS through the use of AI augmentation. In recent years, DevOps has gained popularity, promoting closer collaboration between developers and operations personnel for system development and integration. While AI technology has the potential to be beneficial in this context, its widespread use is currently limited. However, AI is anticipated to have a significant role in automating processes for major corporations in the future. The ultimate goal of this project is to create an integrated AI-augmented framework for the continuous automatic development of CPS, utilizing a model-based approach. The paper will extensively cover Model-Driven Engineering (MDE) concepts and methodologies to provide a model-based framework with the relevant approaches and associated technology.
Sarthak Srivastava (Tue,) studied this question.