Stammdaten

Titel: Implementing Tool Support for Analyzing Stakeholder Communications in Software Development
Untertitel:
Kurzfassung:

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

Schlagworte:
Publikationstyp: Beitrag in Sammelwerk (Autorenschaft)
Erscheinungsdatum: 2015 (Online)
Erschienen in: 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)
zur Publikation
 ( IEEE Computer Society Press; )
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 1 - 10
Gesamtseitenanzahl: 10 S.

Versionen

Keine Version vorhanden
Erscheinungsdatum: 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
  • Online verfügbar (nicht Open Access)

Zuordnung

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

Kategorisierung

Sachgebiete
  • 102 - Informatik
Forschungscluster Kein Forschungscluster ausgewählt
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Professionals (Qualitätsindikator: n.a.)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Application Engineering

Kooperationen

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Beiträge der Publikation

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