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Crowd Requirement Rating Technique (CrowdReRaT) Model for Crowd Sourcing

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2020
Authors:
Adetunji Oluwatofunmi, Oyenuga Ebenezer, Otuneme Nzechukwu
10.5120/ijca2020920178

Adetunji Oluwatofunmi, Oyenuga Ebenezer and Otuneme Nzechukwu. Crowd Requirement Rating Technique (CrowdReRaT) Model for Crowd Sourcing. International Journal of Computer Applications 176(22):9-14, May 2020. BibTeX

@article{10.5120/ijca2020920178,
	author = {Adetunji Oluwatofunmi and Oyenuga Ebenezer and Otuneme Nzechukwu},
	title = {Crowd Requirement Rating Technique (CrowdReRaT) Model for Crowd Sourcing},
	journal = {International Journal of Computer Applications},
	issue_date = {May 2020},
	volume = {176},
	number = {22},
	month = {May},
	year = {2020},
	issn = {0975-8887},
	pages = {9-14},
	numpages = {6},
	url = {http://www.ijcaonline.org/archives/volume176/number22/31329-2020920178},
	doi = {10.5120/ijca2020920178},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Requirement Engineering (RE) is an area of software engineering that handles the requirement and elicitation phase which involves the extraction of requirements from business users, clients, and or stakeholders. Producing software that is widely acceptable by prospective users is a function of the accuracy of the requirements gathered during the requirement and elicitation phase of software development. Crowd Requirement Engineering (CrowdRE) is an emerging method that utilizes the power of the crowd kicking out the traditional method for collecting software requirements. The power of a crowd is in its diversity of expertise and talents however, there is still the challenge of managing the crowd, analyzing, and annotating crowd requirements.

This research work aims at developing a multi-level CrowdRE model known as the Crowd Requirement Rating Technique (CrowdReRaT) that enable annotation of requirements by different crowd members at various level. Several models were reviewed systematically to identify their areas of strengths and weaknesses. However, a recommendation for integrating a mini personality survey to know and understand the nature and skillsets of crowd members was suggested.

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Keywords

CrowRE, Requirement Engineering, Crowd Requirement Rating, Requirement Annotation.