You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact

Towards continuous modelling to enable DevOps: a preliminary study with practitioners


Publication Type:

Conference/Workshop Paper


DevOps@Models 2022


Model-based methods and techniques continuously evolve to meet the increasing challenges of modern-day technical landscapes. Par- allel to Model-based methods, other paradigms are similarly ma- turing and being integrated, and one such paradigm is DevOps. Model-based methods and DevOps are perceived to provide bene- fits when viewed in isolation. Recently, there has been an increased interest in matching the two paradigms, with various proposals and early adoption results. However, little focus is put on the prac- titioners’ view. In this paper, we propose a methodology that aims to utilise Model-driven engineering and DevOps practices in conjunction. Together with the methodology, we present an early evaluation of it from a practitioner’s perspective. In particular, we study a large and long-running student project aiming to build a solar vehicle, by presenting the current integration and potential future directions. In this paper we limit the observation to the development phase. Early feedback from the case study indicates significant benefits for several identified project pain points, and it’s expected that more benefits will emerge when more advanced DevOps aspects are integrated with model-based methods, and the project matures.


author = {Johan Cederbladh and Antonio Cicchetti},
title = {Towards continuous modelling to enable DevOps: a preliminary study with practitioners},
month = {October},
year = {2022},
booktitle = {DevOps@Models 2022},
url = {}