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Towards a Quality Model for Cloud-native Applications

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Service-Oriented and Cloud Computing (ESOCC 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13226))

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Abstract

Cloud-native is a recent paradigm for web-based service-oriented applications. Because it covers a wide range of concepts and lacks a commonly accepted definition, evaluating software architectures according to it is difficult. Therefore, a quality model is presented, aligned with the Quamoco meta model and based on both practitioner books and scientific literature. It focuses on the design time and considers multiple quality attributes in relation. This initial quality model together with an evaluation of already existing measures is intended as a basis for approaches aiming to evaluate cloud-native application architectures.

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Notes

  1. 1.

    https://github.com/r0light/cna-quality-model/tree/0.1.

  2. 2.

    https://r0light.github.io/cna-quality-model/.

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Authors and Affiliations

  1. Distributed Systems Group, University of Bamberg, Bamberg, Germany

    Robin Lichtenthäler & Guido Wirtz

Authors
  1. Robin Lichtenthäler
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  2. Guido Wirtz
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Corresponding author

Correspondence to Robin Lichtenthäler .

Editor information

Editors and Affiliations

  1. University of Southern Denmark, Odense, Denmark

    Fabrizio Montesi

  2. University of Cyprus, Nicosia, Cyprus

    George Angelos Papadopoulos

  3. Martin Luther University Halle-Wittenberg, Halle (Saale), Germany

    Wolf Zimmermann

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Lichtenthäler, R., Wirtz, G. (2022). Towards a Quality Model for Cloud-native Applications. In: Montesi, F., Papadopoulos, G.A., Zimmermann, W. (eds) Service-Oriented and Cloud Computing. ESOCC 2022. Lecture Notes in Computer Science, vol 13226. Springer, Cham. https://doi.org/10.1007/978-3-031-04718-3_7

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  • DOI: https://doi.org/10.1007/978-3-031-04718-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-04717-6

  • Online ISBN: 978-3-031-04718-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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