Master data

Title: Harmonizing the Quality View of Stakeholders
Subtitle:
Abstract:

Due to the nature ofsoftware development processes, different parties (users, developers, businessactors etc.) have different views on the quality a system under development(SUD) is intended to have. Consequently, these views have to be harmonized. Thischapter summarizes the related state-of-the-art and presents aconceptualization of quality view harmonization. In particular, we will dealwith and conceptualize the following dimensions: the SUD quality itself; theactivities of the harmonization process including the interaction of theparties involved while gathering quality requirements; the knowledge aboutthese parties and the differences in their perception of quality, and theamount of knowledge about quality-related issues. The conceptualized knowledgeof these dimensions forms the basis of an ontology for supporting theinteraction process. The structure of the paper is defined along thesedimensions: for every area of knowledge, we will propose a set of concepts andalign the state-of-the-art approaches to them. The concepts presented here arepartly result of the on-going project QuASE (Quality Aware SoftwareEngineering) which is funded by the Austrian Research Promotion Agency (FFG).

Keywords:
Publication type: Article in compilation (Authorship)
Publication date: 2014 (Print)
Published by: Relating System Quality and Software Architecture
Relating System Quality and Software Architecture
to publication
 ( Elsevier Science Inc.; )
Title of the series: -
Volume number: -
First publication: Yes
Page: pp. 41 - 74
Total number of pages: 34 pp.

Versionen

Keine Version vorhanden
Publication date: 2014
ISBN:
  • 978-0-12-417009-4
ISSN: -
Homepage: -

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Artificial Intelligence und Cybersecurity
Universitätsstr. 65-67
A-9020 Klagenfurt
Austria
  -993705
   aics-office@aau.at
https://www.aau.at/en/aics/
To organisation
Universitätsstr. 65-67
AT - A-9020  Klagenfurt

Categorisation

Subject areas
  • 102 - Computer Sciences
Research Cluster No research Research Cluster selected
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: n.a.)
Classification raster of the assigned organisational units:
working groups No working group selected

Cooperations

No partner organisations selected

Articles of the publication

No related publications