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https://doi.org/10.21256/zhaw-23366| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | Structural coupling for microservices |
| Authors: | Panichella, Sebastiano Rahman, Mohammad Taibi, Davide |
| et. al: | No |
| DOI: | 10.5220/0010481902800287 10.21256/zhaw-23366 |
| Proceedings: | Proceedings of the 11th International Conference on Cloud Computing and Services Science |
| Page(s): | 280 |
| Pages to: | 287 |
| Conference details: | 11th International Conference on Cloud Computing and Services Science (CLOSER), online, 28-30 April 2021 |
| Issue Date: | 2021 |
| Publisher / Ed. Institution: | SciTePress |
| ISBN: | 978-989-758-510-4 |
| ISSN: | 2184-5042 |
| Language: | English |
| Subjects: | Cloud-native; Microservice; Coupling |
| Subject (DDC): | 004: Computer science |
| Abstract: | Cloud-native Applications are “distributed, elastic and horizontal-scalable systems composed of (micro) services which isolates states in a minimum of stateful components”. Hence, an important property is to ensure a low coupling and a high cohesion among the (micro)services composing the cloud-native application. Loosely coupled and highly cohesive services allow development teams to work in parallel, reducing the communication overhead between teams. However, despite both practitioners and researchers agreement on the importance of this general property, there are no validated metrics to effectively measure or test the actual coupling level between services. In this work, we propose ways to compute and to visualize the coupling between microservices, this by extending and adapting the concepts behind the computation of the traditional structural coupling. We validate these measures with a case study involving 17 open source projects and we provide an automatic approach to measure them. The results of this study highlight how these metrics provide to practitioners a quantitative and visual views of services compositions, which can be useful to conceive advanced systems to monitor the services evolution. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/23366 |
| Fulltext version: | Published version |
| License (according to publishing contract): | CC BY-NC-ND 4.0: Attribution - Non commercial - No derivatives 4.0 International |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Computer Science (InIT) |
| Appears in collections: | Publikationen School of Engineering |
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|---|---|---|---|---|
| 2021_Panichella-etal_Structural-coupling-microservices.pdf | 615.84 kB | Adobe PDF |  View/Open |
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Panichella, S., Rahman, M., & Taibi, D. (2021). Structural coupling for microservices [Conference paper]. Proceedings of the 11th International Conference on Cloud Computing and Services Science, 280–287. https://doi.org/10.5220/0010481902800287
Panichella, S., Rahman, M. and Taibi, D. (2021) ‘Structural coupling for microservices’, in Proceedings of the 11th International Conference on Cloud Computing and Services Science. SciTePress, pp. 280–287. Available at: https://doi.org/10.5220/0010481902800287.
S. Panichella, M. Rahman, and D. Taibi, “Structural coupling for microservices,” in Proceedings of the 11th International Conference on Cloud Computing and Services Science, 2021, pp. 280–287. doi: 10.5220/0010481902800287.
PANICHELLA, Sebastiano, Mohammad RAHMAN und Davide TAIBI, 2021. Structural coupling for microservices. In: Proceedings of the 11th International Conference on Cloud Computing and Services Science. Conference paper. SciTePress. 2021. S. 280–287. ISBN 978-989-758-510-4
Panichella, Sebastiano, Mohammad Rahman, and Davide Taibi. 2021. “Structural Coupling for Microservices.” Conference paper. In Proceedings of the 11th International Conference on Cloud Computing and Services Science, 280–87. SciTePress. https://doi.org/10.5220/0010481902800287.
Panichella, Sebastiano, et al. “Structural Coupling for Microservices.” Proceedings of the 11th International Conference on Cloud Computing and Services Science, SciTePress, 2021, pp. 280–87, https://doi.org/10.5220/0010481902800287.
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