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

fYear

2012

fDate

3-6 Sept. 2012

Firstpage

153

Lastpage

156

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/QUATIC.2012.19

Filename

6511798