Hitchman, Stephen (1995) The development and evaluation of a knowledgebase approach to a method for the analysis and design of commercial computer systems. PhD thesis, University of Gloucestershire.
Full text not available from this repository.Abstract
Modelling is a key aspect of the current commercial systems analysis process. The thesis is that modelling effectiveness in this area of activity can be improved through the use of a knowledgebase approach. A case study establishes the available semantic constructs of a commercial data modelling standard, and these semantic constructs are adopted as the basis of a survey of current practitioners. The research has established that, although ubiquitous in methodologies, the data modelling method in the commercial domain is often poorly used or not used at all. Case studies of current Information Engineering practice in the commercial domain are shown to involve an implicit knowledgebase approach. This implicit approach is synthesised with one developed through the use of a knowledgebase in the commercial domain, using complementary modelling ideas from semantic modelling, knowledge representation and object oriented analysis. Frames are found to be effective as analysis objects, rather than as part of some encapsulated design object. The synthesised knowledgebase approach is used in an action research project and found to offer the possibility of more effective modelling and to reflect some epistemological use of modelling in the analysis process.
Item Type: | Thesis (PhD) | |||||||||
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Additional Information: | A print copy of this thesis is available for library use only. Ph.D thesis submitted through Cheltenham & Gloucester College of Higher Education and awarded by the University of Bristol. Cheltenham & Gloucester College of Higher Education later became the University of Gloucestershire. | |||||||||
Uncontrolled Keywords: | Computer science; Commercial computer systems design | |||||||||
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Subjects: | Q Science > QA Mathematics > QA76 Computer software | |||||||||
Divisions: | Schools and Research Institutes > Gloucestershire Business School | |||||||||
Depositing User: | Susan Turner | |||||||||
Date Deposited: | 10 Jan 2022 16:13 | |||||||||
Last Modified: | 10 Jan 2022 16:13 | |||||||||
URI: | https://eprints.glos.ac.uk/id/eprint/10551 |
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