Master data

Title: Towards Managing Understandability of Quality-Related Information in Software Development Processes
Subtitle:
Abstract:

Establishing common understanding between the parties in the software process is important for dealing with quality of the prospective software. This process is difficult to organize because the parties (especially, developers and business stakeholders) perceive quality based on different world views. To address this problem, we aim at a solution for managing understandability of quality-related information in the software process. This solution provides the set of understandability assessment activities (aimed at diagnosing problems with communicated terms not belonging to the view of the target party) and understandability improvement activities (aimed at resolving these problems by translating problematic terms between world views and providing necessary explanations). These activities are supported by a modular ontology incorporating available quality-related knowledge; particular configuration of the ontology modules describes the quality view of the involved party. The proposed solution is expected to reduce the time and effort for establishing a communication basis while discussing software quality, thus cutting costs and strengthening the mutual trust of the parties.

Keywords:
Publication type: Article in compilation (Authorship)
Publication date: 2014 (Print)
Published by: Computational Science and Its Applications – ICCSA 2014
Computational Science and Its Applications – ICCSA 2014
to publication
 ( Springer International Publishing AG; )
Title of the series: Lecture Notes in Computer Science
Volume number: 8583
First publication: Yes
Version: -
Page: pp. 572 - 585
Total number of pages: 14 pp.

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Keine Version vorhanden
Publication date:
ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1007/978-3-319-09156-3_40
Homepage: -
Open access
  • No open access

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