Reference Model for Agile Development of Machine Learning-based Service Systems
Hironori Takeuchi, Haruhiko Kaiya, Hiroyuki Nakagawa, Shinpei Ogata · 2021
In this study, as a reusable knowledge for the effective system development we built a reference agile development model for machine learning(ML)-based systems. For this purpose, we collected project data on ML-based service system development projects (ML projects). From the collected practice data, we identified the common activities in these projects to extend the existing development models such as a generic agile development model and the workflow model for ML projects. Through the reference model represented by ArchiMate that is an enterprise modeling language, it was confirmed that the project participants from the business division can understand the activities that they should be involved in.