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Title: Elicito: An ontology-based quality driven requriements engineering framework and tool
Author: Balushi, Taiseera Hazeem Al
ISNI:       0000 0001 3441 949X
Awarding Body: Manchester
Current Institution: University of Manchester
Date of Award: 2008
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Successful development of software systems depends on the quality of the requirements engineering process. Users oftoday's software systems expect systems to execute tasks on time, assure secure transactions, provide accurate results, and have low down-times. Therefore, capturing, representing, and addressing not only the functional requirements but also the non-functional requirements (NFRs) or quality requirements during software systems development is a pre-requisite to the development of effective and efficient software systems. Despite the critical importance of quality requirements, there is a considerable gap in the breadth and depth of quality engineering support in most Requirements Engineering (RE) methods. In practice, quality concerns are frequently considered only as an afterthought in the systems development process. Whilst there is a wealth of modelling formalisms and process models for functional requirements, there is very limited support for quality factors in requirements engineering. The objective of this research was therefore to investigate the use of quality ontologies to efficiently and effectively address quality requirements during the RE activities. The main contributions of this thesis are an ontology-based quality driven requirements engineering approach: the ElicitO framework and tool. The ElicitO framework consists of processes and guidelines on how to conduct RE stages supported by ontologies (domain and quality) implemented in the ElicitO tool. The framework and the tool are aimed at empowering requirements analysts with a knowledge repository that helps to capture precise non-functional requirements. Finally the ElicitO tool was evaluated in a University Web Project at the University of Manchester. The results of the case study indicate that quality requirements can be better understood, negotiated about, precisely captured and documented early in requirements engineering activities.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available