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 urn:nbn:de:bvb:473-irb-538015 |
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: | 004 Computer science |
RVK Classification: | ST 233 |
Type: | Conferenceobject |
URI: | https://fis.uni-bamberg.de/handle/uniba/53801 |
Release Date: | 31. May 2022 |
File | Size | Format | |
---|---|---|---|
fisba53801.pdf | 349.97 kB | View/Open |

originated at the
University of Bamberg
University of Bamberg