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Formulating a quality model for cloud-native software architectures : conceptual and methodological considerations
Lichtenthäler, Robin; Wirtz, Guido (2024): Formulating a quality model for cloud-native software architectures : conceptual and methodological considerations, in: Cluster computing : the journal of networks, software tools and applications, Dordrecht: Springer, Jg. 27, Nr. 4, S. 4077–4093, doi: 10.1007/s10586-024-04343-4.
Faculty/Chair:
Author:
Title of the Journal:
Cluster computing : the journal of networks, software tools and applications
ISSN:
1573-7543
1386-7857
Publisher Information:
Year of publication:
2024
Volume:
27
Issue:
4
Pages:
Language:
English
Abstract:
Interest in cloud computing is steadily increasing and the range of offerings is evolving due to continuous technological innovation. Hence, cloud-native has been established as a term for building applications in a way that maximally exploits benefits of modern cloud computing concepts. However, cloud-native as a topic is broad and the variety in cloud computing technologies is large. Thus, we identify a need in supporting developers and software architects who want to benefit from cloud-native concepts. We provide this support in the form of a quality model for cloud-native software architectures that explains how architectural characteristics impact different quality aspects. Our focus is on the design time and the aim is that architectural models of applications can be evaluated according to cloud-native characteristics and corresponding quality aspects. In this work we present our approach for formulating and validating the quality model for cloud-native software architectures as well as its current state. This presentation is based on previous work, especially a recently conducted validation survey that focused on the impacts of architectural characteristics on quality aspects. The new contribution of this work is the integrated presentation of our approach in a larger context of conceptual and methodological considerations. Further, revision of the quality model based on a repeated literature search for architectural measures is presented. We provide a more detailed look on the quality model, explaining exemplary product factors and their relevance within the topic of cloud-native. Our results provide a qualitative overview of characteristics associated with cloud native software architectures and lay the foundation for quantitative quality evaluations based on architectural models of applications.
GND Keywords: ; ;
Softwarearchitektur
Cloud Computing
Qualitätsmanagement
Keywords: ; ; ;
Cloud-native
Quality model
Quality model formulation
Architectural evaluation
DDC Classification:
RVK Classification:
Peer Reviewed:
Yes:
International Distribution:
Yes:
Type:
Article
Activation date:
May 24, 2024
Project(s):
Versioning
Question on publication
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https://fis.uni-bamberg.de/handle/uniba/95370