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Title: An early intervention model for quality assurance of the schema development process
Author: Youssef Azz El Din, Asser Hassan
ISNI:       0000 0004 2720 5911
Awarding Body: University of the West of England, Bristol
Current Institution: University of the West of England, Bristol
Date of Award: 2011
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During the last few years there have been increasing calls for higher standards regarding the quality of various attributes and aspects of information services. Databases are extremely important within information systems since they are the basic nucleus in most cases. This thesis is going to cover the topic of database quality, by investigating the relationship between database quality as a dependant variable and information quality, data quality, service quality, software quality, infrastructure quality and administrative quality as independent variables. It is critical that databases be properly designed and managed, as the costs associated with database developing quality from design to implementation are much lower than the costs of correcting problems occur later due to poor design, this raise the need to an early intervention model. Therefore, the aim of the thesis is to develop an early intervention model for quality assurance for the schema development process. This can be achieved by using the proposed model which consists of four main components: the task path, the proposed form, the schema checklist and the quality checklist. This research follows two distinctive methodologies. From one aspect, it is of an exploratory nature, as it aims to explore the validity of the proposed model in the database design, while from another aspect, it is of an empirical nature as it tests the impact of using the proposed model on the schema produced. The scope of this study is the small-size relational database systems. Relational has been selected because RDBMS control the database market and they are most widespread these days. To test the hypothesis, an experiment has been designed by the researcher to prove the correctness of this hypothesis. The proposed model has been examined and compared to the traditional model to see the effect of the proposed model on the schema quality. From the experiment results, it has been found that using the proposed model can achieve some quality factors which are accuracy, completeness, consistency, relevancy, meanwhile obtaining user satisfaction.
Supervisor: Savage, Barbara Maria ; Petheram, Brian Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available