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Hybridized Ranking Model for Prioritizing Functional Software Requirements: Case Study Approach

Hybridized Ranking Model for Prioritizing Functional Software Requirements: Case Study Approach

Ishaya Peni Gambo, Rhoda Ikono, Olaronke Ganiat Iroju, Theresa Olubukola Omodunbi, Oswaldo Kenan Zohoun
Copyright: © 2021 |Volume: 9 |Issue: 4 |Pages: 31
ISSN: 2166-7160|EISSN: 2166-7179|EISBN13: 9781799862796|DOI: 10.4018/IJSI.289167
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MLA

Gambo, Ishaya Peni, et al. "Hybridized Ranking Model for Prioritizing Functional Software Requirements: Case Study Approach." IJSI vol.9, no.4 2021: pp.19-49. http://doi.org/10.4018/IJSI.289167

APA

Gambo, I. P., Ikono, R., Iroju, O. G., Omodunbi, T. O., & Zohoun, O. K. (2021). Hybridized Ranking Model for Prioritizing Functional Software Requirements: Case Study Approach. International Journal of Software Innovation (IJSI), 9(4), 19-49. http://doi.org/10.4018/IJSI.289167

Chicago

Gambo, Ishaya Peni, et al. "Hybridized Ranking Model for Prioritizing Functional Software Requirements: Case Study Approach," International Journal of Software Innovation (IJSI) 9, no.4: 19-49. http://doi.org/10.4018/IJSI.289167

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Abstract

Many difficulties exist when defining and deciding which requirements should be implemented first in an ultra-large-scale multi-stakeholder involved system. This often leads to system failure and product dissatisfaction. This paper established a suitable method supporting more precise and accurate decision-making in prioritizing requirements. The authors collected and analyzed a large number of software requirements in a case study, which was based on real-life practices and processes. Structured interviews and questionnaires were used to collect data from 600 stakeholders. They formulated a model based on the analyzed requirements using the CBRanking and the MACBETH approaches. They ranked the requirements and considered the requirements' relative importance according to the stakeholders' opinions. Thus, a hybridized mathematical model was proposed for prioritizing these functional requirements and evaluating its performance for consistency and completeness. The results showed the software's best functional requirements concerning the customers' expectations.

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