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London Metropolitan University

An ontological approach to model software quality assurance knowledge domain

Abstract

dc:description.abstract

Software Quality Assurance (SQA) becomes one of the most important objectives of software development and maintenance activities and as a result within an area of Software Engineering (SE) there are developed standards related to the SQA. Despite the effort made to improve consistency and coherency among standards, still there is no single standard embraces the whole SQA knowledge area. To contribute to this effort, this thesis presents an ontological model to describe and define the SQA knowledge area. International standards (SWEBOK, IEEE, and ISO) were the main sources of the terminology and semantic relations of the developed SQA conceptual model. A formal ontology was implemented using the semantic web open standard OWL language. To avoid contradictory information, the developed ontology was validated for consistency. Clarity and completeness have been evaluated using assessment questionnaire. Application-Based ontology evaluation is used to measure practical aspects of ontology deployment. Based on the results and findings of the ontology evaluation process, an enhanced version of the SQA ontology was developed. The ultimate goal was to develop an ontology that faithfully models the SQA discipline as practiced in the software development life cycle.

Degree

thesis:*
Name dc:type.qualificationname
phd
Level dc:type.qualificationlevel
doctoral
Grantor dc:publisher.institution
London Metropolitan University
Year dc:date.issued
2013

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Bajnaid, Nada O.

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
Dc Identifier Grantnumber
N/A
OAI identifier oai:identifier
oai:repository.londonmet.ac.uk:7427

Chain of custody

source
Harvested from
London Metropolitan University
Base URL
repository.londonmet.ac.uk/cgi/oai2
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Bajnaid, Nada O.. An ontological approach to model software quality assurance knowledge domain. doctoral thesis, London Metropolitan University, 2013.