Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687964
Title: A generic framework facilitating automated quality assurance across programming languages of disparate paradigms
Author: Owens, Darryl
ISNI:       0000 0004 5916 1431
Awarding Body: Edge Hill University
Current Institution: Edge Hill University
Date of Award: 2016
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Abstract:
This research aims to outline a framework based on procedural and object-oriented Paradigms that facilitates generic automated quality assurance. Along with the outline, a skeleton framework has been developed to evaluate the research, and the final aim is to expand the footprint of the framework; theoretical inclusion of other programming paradigms has been discussed. This research developed a taxonomy of quality assurance techniques in order to identify potential candidates for generic quality assurance and also to minimise experimental requirements, as the taxonomy categories are generated based on implementation requirements; this means that a category can be deemed feasible within the scope of this framework if a single technique can be implemented. The novel aspects of this research are the taxonomy, paradigm-specific framework, and finally the theorised paradigm-generic framework. An experimental method has been used to provide evidence to support the claims made by this research, which is accompanied by a study of literature providing a foundation for all areas discussed. Although a paradigm-generic framework can be achieved, the internal representation used in this research showed that application of the logical paradigm would not be simple and has little benefit in the scope of automated quality assurance. This being said, procedural, object-oriented, and functional paradigms have been demonstrated as feasible with significant impact on programming language development and automated quality assurance of software.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.687964  DOI: Not available
Keywords: QA75 Electronic computers. Computer science
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