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A Review of Approaches for Quality Model Validations in the Context of Cloud-native Applications
Lichtenthäler, Robin; Wirtz, Guido (2022): A Review of Approaches for Quality Model Validations in the Context of Cloud-native Applications, in: CEUR workshop proceedings, Aachen: RWTH Aachen, S. 30–41.
Faculty/Chair:
Author:
Title of the Journal:
CEUR workshop proceedings
ISSN:
1613-0073
Corporate Body:
RWTH Aachen : CEUR-WS
Conference:
Proceedings of the 14th ZEUS Workshop on Services and their Composition (ZEUS 2022) ; 24.-25. Feb. 2022 ; Online
Publisher Information:
Year of publication:
2022
Issue:
3113
Pages:
Language:
English
Abstract:
Quality models considering internal design characteristics of software should represent reality as accurately as possible. This can be ensured through a validation of relations between quality attributes. In this work we review validation approaches used in literature. We conclude that in an early design phase, surveys and expert interviews are suitable to validate quality attributes and their relations while for complete quality models quantitative validations through measures are advised.
GND Keywords: ; ;
Softwareentwicklung
Validierung
Literaturrecherche
Keywords: ; ;
Quality model
Empirical validation
Cloud-native
DDC Classification:
RVK Classification:
Type:
Conferenceobject
Activation date:
April 28, 2022
Versioning
Question on publication
Permalink
https://fis.uni-bamberg.de/handle/uniba/53882