# Using DevOps Toolchains in Agile Model-Driven Engineering

arXiv: https://arxiv.org/abs/2111.11607 · HTML: https://mlsanity.com/paper/2111.11607/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 23 Nov 2021.

## Built on by (most cited first, 1 of 1)

- [MLOps: A Step Forward to Enterprise Machine Learning](https://mlsanity.com/paper/2305.19298/) (2023)

## Abstract (arXiv)

For Model-Driven Engineering (MDE) to become Agile, it is has to be usable with and for DevOps as the technical basis of Agility. We describe our experiences in implementing and applying the BB8 architecture that provides a means to reuse Eclipse-based MDE toolkits within an integrating workflow system. We describe the use of the architecture with in the Gitlab DevOps system and discuss future research fields that emerge as the result of our implementation.