Master data

Title: Ensuring Quality Awarness Throughout the Software Development Process
Description: "Establishing reliable communication between all stakeholders involved in a software process is important for coming to terms and agreements on the quality of the prospective software. However, quality is perceived differently by different stakeholder groups, in particular, business people often refuse talking about quality before they experience the system. In addition, past experience related to handling quality-related issues in a software process (in a sense of issue management systems such as JIRA) is often not managed properly. To taskle this problem, we aim at a tool-supported framework implementing a four-stage issue handling process. It involves acquiring the raw information about quality-related issues from the different parties in a software process and converting this information into a set of knowledge structures reflecting their views; converting and integrating these structures into a “global view”; solving analytical tasks such as facilitating knowledge reuse based on the global view; and converting and externalizing the global view back into the form that reflects the views of the different parties. 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:
Type: Registered lecture
Homepage: -
Event: 10. Anwenderkonferenz (ASQT 2012) "Softwarequalität, Test und Innovation" Klagenfurt, 6.-7. September 2012 (Klagenfurt)
Date: 06.09.2012
lecture status:

Participants

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
  • 1140 - Software engineering
  • 1108 - Informatics
Research Cluster
  • Human centered computing and design
Focus of lecture
  • Science to Science (Quality indicator: II)
Classification raster of the assigned organisational units:
Group of participants
  • Mainly international
Published?
  • No
working groups No working group selected

Cooperations

No partner organisations selected