Title :
Acquiring Empirical Knowledge to Support Intelligent Analysis of Quality-Related Issues in Software Development
Author :
Shekhovtsov, Vladimir A. ; Mayr, Heinrich C. ; Kop, C.
Author_Institution :
Inst. of Appl. Inf., Alpen-Adria-Univ. Klagenfurt, Klagenfurt, Austria
Abstract :
The paper describes the current state of the initial part of the ongoing project aimed at the intelligent support for dealing with quality-related information in the software process. We describe the empirical qualitative studies aimed at acquiring the knowledge on stakeholder perception of quality andquality-related stakeholder interactions. This knowledge is supposed to be incorporated into a common ontology serving as a conceptual foundation for the prospective intelligent issue monitoring and analysis system based on the semantic repository. This system can be used to support prediction of the quality-related behavior of the stakeholders and facilitate reuse of the relevant knowledge.
Keywords :
ontologies (artificial intelligence); software quality; analysis system; empirical knowledge acquisition; intelligent analysis; intelligent issue monitoring; knowledge reusability; ontology; quality-related information; quality-related issues; quality-related stakeholder interactions; semantic repository; software development; software process; stakeholder quality-related behavior; ontology engineering; qualitative techniques; quality-related interactions; software process; software quality;
Conference_Titel :
Quality of Information and Communications Technology (QUATIC), 2012 Eighth International Conference on the
Conference_Location :
Lisbon
Print_ISBN :
978-1-4673-2345-1
DOI :
10.1109/QUATIC.2012.19