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A study on the effectiveness and efficiency of triangulation in early requirements elicitation in libraries
University of Borås, Faculty of Librarianship, Information, Education and IT.
2022 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The increasing involvement of libraries in collaborative open source software projects raises the question of how evidence-based practice can be applied to support decision-making in requirements formulation in multi-stakeholder environments. Requirements elicitation is the most critical phase in requirement engineering as it is the point at which the analyst elicit, understand and validate the requirements of a system. This process is resource-intensive and sometimes even more so if the analyst has no or little prior knowledge of the domain. Some evidence exists that domain knowledge of the analyst contributes to the completeness of the requirements. Existing research investigated a variety of elicitation techniques, which in general supports the correct selection in practice. In this regard, little research has been conducted on which elicitation techniques can be applied to combine initial domain knowledge acquisition with requirements validation and complementation in a multi-stakeholder context. The aim of this master’s thesis is therefore to evaluate the combined use of a systematic literature review on the respective domain with group interviews involving different stakeholder groups. Forthis purpose, method and data triangulation are applied within a case study. It is concluded that the combined use of a systematicl iterature review with group interviews can be both effective and efficient in terms of requirements completeness, time spent and ease of use if the analyst has little prior knowledge of the domain. 

Place, publisher, year, edition, pages
2022.
Keywords [en]
Method Triangulation, Data Triangulation, Informed Triangulation, Convergence, Complementarity, Divergence, Requirements Elicitation, Library
National Category
Information Studies
Identifiers
URN: urn:nbn:se:hb:diva-28839OAI: oai:DiVA.org:hb-28839DiVA, id: diva2:1707486
Available from: 2022-10-31 Created: 2022-10-31 Last updated: 2022-10-31Bibliographically approved

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  • de-DE
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  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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