Semi-Automated Smell Resolution in Kubernetes-Deployed Microservices

Jacopo Soldani, Marco Marinò, Antonio Brogi

2023

Abstract

Microservices are getting commonplace, as their design principles enable obtaining cloud-native applications. Ensuring that applications adheres to microservices’ design principles is hence crucial, and this includes resolving architectural smells possibly denoting violations of such principles. To this end, in this paper we propose a semi-automated methodology for resolving architectural smells in microservices applications deployed with Kubernetes. Our methodology indeed automatically detects architectural smells by analyzing the Kubernetes manifest files specifying an application’s deployment, and it can also generate the refactoring templates for resolving such smells. We also introduce KubeFreshener, an open-source prototype of our methodology, which we use to assess it in practice based on a controlled experiment and a case study.

Paper Citation

in Harvard Style

Soldani J., Marinò M. and Brogi A. (2023). Semi-Automated Smell Resolution in Kubernetes-Deployed Microservices. In Proceedings of the 13th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-650-7, SciTePress, pages 34-45. DOI: 10.5220/0011845500003488

in Bibtex Style

@conference{closer23,
author={Jacopo Soldani and Marco Marinò and Antonio Brogi},
title={Semi-Automated Smell Resolution in Kubernetes-Deployed Microservices},
booktitle={Proceedings of the 13th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2023},
pages={34-45},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011845500003488},
isbn={978-989-758-650-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Semi-Automated Smell Resolution in Kubernetes-Deployed Microservices
SN - 978-989-758-650-7
AU - Soldani J.
AU - Marinò M.
AU - Brogi A.
PY - 2023
SP - 34
EP - 45
DO - 10.5220/0011845500003488
PB - SciTePress