Extended Rationale-Based Model for Tacit Knowledge Elicitation in Requirements Elicitation Context

The Requirements elicitation involves knowledge intensive and collaborative activities. Requirements engineering research has proposed a range of knowledge elicitation and requirements gathering techniques, few of which apply specific strategies for eliciting tacit knowledge from stakeholders. The d...

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Main Authors: Halah Abdulaziz Al-Alshaikh, Abdulrahman A. Mirza, Hessah Abdullah Alsalamah
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9044788/
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author Halah Abdulaziz Al-Alshaikh
Abdulrahman A. Mirza
Hessah Abdullah Alsalamah
author_facet Halah Abdulaziz Al-Alshaikh
Abdulrahman A. Mirza
Hessah Abdullah Alsalamah
author_sort Halah Abdulaziz Al-Alshaikh
collection DOAJ
description The Requirements elicitation involves knowledge intensive and collaborative activities. Requirements engineering research has proposed a range of knowledge elicitation and requirements gathering techniques, few of which apply specific strategies for eliciting tacit knowledge from stakeholders. The difficulty of taking the deliberate advantage of important tacit knowledge of stakeholders is one of the eminent problems in requirements elicitation. This paper proposes a model to define and elicit the tacit knowledge that has been generated during the requirements elicitation process. The model is based on adopting and extending the rationale model for requirements rationale knowledge elicitation in the requirements elicitation process context. Moreover, this paper presents a representation code to express the tacit knowledge in this context. Finally, to evaluate the feasibility of the model, a survey instrument was applied on domain experts to gather their opinion regarding the ability of the proposed model in facilitating tacit knowledge elicitation. In addition, controlled experiment used to evaluate the proposed model. To explore the model, a post-questionnaire was used to identify participants' feedback. The findings of the evaluation methodologies that were used showed that the proposed model can facilitate tacit knowledge elicitation in the requirements elicitation context. Also, the proposed model has a significant effect on improving the requirements elicitation.
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spelling doaj.art-97f1c07a79674b31805c5b9516e1ee442022-12-21T18:14:37ZengIEEEIEEE Access2169-35362020-01-018608016081010.1109/ACCESS.2020.29828379044788Extended Rationale-Based Model for Tacit Knowledge Elicitation in Requirements Elicitation ContextHalah Abdulaziz Al-Alshaikh0https://orcid.org/0000-0003-3037-9114Abdulrahman A. Mirza1Hessah Abdullah Alsalamah2https://orcid.org/0000-0002-4761-0864College of Computer and Information Sciences/Information Systems, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi ArabiaCollege of Computer and information Sciences/Information Systems, King Saud University, Riyadh, Saudi ArabiaCollege of Computer and information Sciences/Information Systems, King Saud University, Riyadh, Saudi ArabiaThe Requirements elicitation involves knowledge intensive and collaborative activities. Requirements engineering research has proposed a range of knowledge elicitation and requirements gathering techniques, few of which apply specific strategies for eliciting tacit knowledge from stakeholders. The difficulty of taking the deliberate advantage of important tacit knowledge of stakeholders is one of the eminent problems in requirements elicitation. This paper proposes a model to define and elicit the tacit knowledge that has been generated during the requirements elicitation process. The model is based on adopting and extending the rationale model for requirements rationale knowledge elicitation in the requirements elicitation process context. Moreover, this paper presents a representation code to express the tacit knowledge in this context. Finally, to evaluate the feasibility of the model, a survey instrument was applied on domain experts to gather their opinion regarding the ability of the proposed model in facilitating tacit knowledge elicitation. In addition, controlled experiment used to evaluate the proposed model. To explore the model, a post-questionnaire was used to identify participants' feedback. The findings of the evaluation methodologies that were used showed that the proposed model can facilitate tacit knowledge elicitation in the requirements elicitation context. Also, the proposed model has a significant effect on improving the requirements elicitation.https://ieeexplore.ieee.org/document/9044788/Requirements engineeringrequirements elicitation processrationale-based modeltacit knowledge
spellingShingle Halah Abdulaziz Al-Alshaikh
Abdulrahman A. Mirza
Hessah Abdullah Alsalamah
Extended Rationale-Based Model for Tacit Knowledge Elicitation in Requirements Elicitation Context
IEEE Access
Requirements engineering
requirements elicitation process
rationale-based model
tacit knowledge
title Extended Rationale-Based Model for Tacit Knowledge Elicitation in Requirements Elicitation Context
title_full Extended Rationale-Based Model for Tacit Knowledge Elicitation in Requirements Elicitation Context
title_fullStr Extended Rationale-Based Model for Tacit Knowledge Elicitation in Requirements Elicitation Context
title_full_unstemmed Extended Rationale-Based Model for Tacit Knowledge Elicitation in Requirements Elicitation Context
title_short Extended Rationale-Based Model for Tacit Knowledge Elicitation in Requirements Elicitation Context
title_sort extended rationale based model for tacit knowledge elicitation in requirements elicitation context
topic Requirements engineering
requirements elicitation process
rationale-based model
tacit knowledge
url https://ieeexplore.ieee.org/document/9044788/
work_keys_str_mv AT halahabdulazizalalshaikh extendedrationalebasedmodelfortacitknowledgeelicitationinrequirementselicitationcontext
AT abdulrahmanamirza extendedrationalebasedmodelfortacitknowledgeelicitationinrequirementselicitationcontext
AT hessahabdullahalsalamah extendedrationalebasedmodelfortacitknowledgeelicitationinrequirementselicitationcontext