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Title: Requirements elicitation using Framenet frames
Author: Kundi, Mahwish
ISNI:       0000 0004 7964 0691
Awarding Body: University of Leicester
Current Institution: University of Leicester
Date of Award: 2019
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Natural language-based use cases remain the key source of requirements elicitation despite the common problems associated with specifications, namely incompleteness, inconsistency and ambiguity. Various solutions such as viewpoints, goals, questionnaire, group meeting, interviews, and use case, have been developed to reduce the communication gap among stakeholders. However, a significant gap exists between theoretical and practical aspects of requirement engineering. This gap could be reduced by semantic agreement among all the stakeholders. This thesis presents a novel approach in order to tackle the textual description problems. It exploits linguistics patterns FrameNet frames in the concept description process. The proposed approach is systematically evaluated using qualitative and quantitative techniques. The qualitative study consists of experimental study and interviews. These studies are carried out to evaluate the role and impact of FrameNet frames in use case elicitation. The quantitative study takes into account a broader range of expert users so as to investigate the impact of FrameNet, and to identify whether the users (technical and nontechnical) consider the information of FrameNet useful or equally useful. The results of the study have proved that use of frames in use case-based elicitation has enhanced the quality of use cases and lead to a clearer understanding of the domain concepts covered in a use-case. The proposed solution helps to acquire comprehensive and thorough information by exploring and identifying the missing requirements. This also results in an initial evaluation of the proposition explaining, that using frames as a reference model in requirements specification, improves the completeness, consistency, and clarity of the resultant requirements.
Supervisor: Walkinshaw, Neil ; Chitchyan, Ruzanna ; de Vries, Fer-Jan Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available