A Review of Approaches for Quality Model Validations in the Context of Cloud-native Applications

Faculty/Professorship: Distributed Systems  
Author(s): Lichtenthäler, Robin  
Other Contributing Persons: Wirtz, Guido  
Title of the Journal: CEUR workshop proceedings
ISSN: 1613-0073
Corporate Body: RWTH Aachen : CEUR-WS
Publisher Information: Bamberg : Otto-Friedrich-Universität
Year of publication: 2022
Pages: 30-41
Source/Other editions: CEUR workshop proceedings. (2022), 3113, S. 30-41. ISSN: 1613-0073.
Year of first publication: 2022
Language(s): English
Licence: Creative Commons - CC0 1.0 Universal - Public Domain Dedication 
URN: urn:nbn:de:0074-3113-3
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: 004 Computer science  
RVK Classification: ST 233   
Type: Conferenceobject
URI: https://fis.uni-bamberg.de/handle/uniba/53801
Release Date: 31. May 2022

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