Master data

Title: Implementing Tool Support for Analyzing Stakeholder Communications in Software Development
Subtitle:
Abstract:

The problem with communicated information originated from stakeholders participating in software development processes is related to the fact that such information is not always available for analysis and reuse. As a rule, it is collected in project repositories (such as issue or bug databases) and only consulted “as-is”: such activities do not always satisfy the analytical needs of the software companies. The goal of a tool-supported QuASE approach presented in this paper is to allow for different kinds of analysis of the available communicated information, in particular, we support reuse of such information, prediction of the characteristics of the elements of the communication environment and the communicated information itself, issuing targeted recommendations and supporting selecting the preferred alternatives for decisions related to such information or to the elements of the communication environment. We describe the motivation for our approach, supported analytical scenarios, modeling and ontological support for analytical concepts, and the specifics of the implementation of the analysis component of the end-user software tool

Keywords:
Publication type: Article in compilation (Authorship)
Publication date: 2015 (Online)
Published by: 2015 IEEE 8th International Conference on Software Testing, Verification and Validation Workshops (ICSTW)
2015 IEEE 8th International Conference on Software Testing, Verification and Validation Workshops (ICSTW)
to publication
 ( IEEE Computer Society Press; )
Title of the series: -
Volume number: -
First publication: Yes
Version: -
Page: pp. 1 - 10
Total number of pages: 10 pp.

Versionen

Keine Version vorhanden
Publication date: 2015
ISBN (e-book):
  • 978-1-4799-1885-0
eISSN: -
DOI: http://dx.doi.org/10.1109/ICSTW.2015.7107418
Homepage: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7107418&tag=1
Open access
  • Available online (not 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 Professionals (Quality indicator: n.a.)
Classification raster of the assigned organisational units:
working groups
  • Application Engineering

Cooperations

No partner organisations selected

Articles of the publication

No related publications