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Authors: Jacopo Soldani ; Marco Marinò and Antonio Brogi

Affiliation: Department of Computer Science, University of Pisa, Pisa, Italy

Keyword(s): Microservices, Kubernetes, Architectural Smells, Architectural Refactoring.

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.

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Paper citation in several formats:
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 - CLOSER; ISBN 978-989-758-650-7; ISSN 2184-5042, SciTePress, pages 34-45. DOI: 10.5220/0011845500003488

@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 - CLOSER},
year={2023},
pages={34-45},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011845500003488},
isbn={978-989-758-650-7},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Cloud Computing and Services Science - CLOSER
TI - Semi-Automated Smell Resolution in Kubernetes-Deployed Microservices
SN - 978-989-758-650-7
IS - 2184-5042
AU - Soldani, J.
AU - Marinò, M.
AU - Brogi, A.
PY - 2023
SP - 34
EP - 45
DO - 10.5220/0011845500003488
PB - SciTePress

- Science and Technology Publications, Lda.
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