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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 7, 2022.
Abstract: Software Requirements Prioritization is an important issue that has a more profound effect on the overall quality of software development. Application of software requirements prioritization provides benefits to minimize risks in software development so that the most important and most impactful requirements are given priority. This paper presents a proposed software requirements prioritization method named MCBRank, which incorporates renowned MoSCoW Method and Case-Based Ranking to improve prioritization correctness. It elaborates on the implementation of MCBRank in an empirical investigation to determine software requirements prioritization for a potential e-library system. The investigation allows the software requirements prioritization process to be implemented by using the proposed MCBRank method. A role-playing empirical investigation with 30 respondents prioritized 31 software requirements, and the results were measured by Cohen Kappa. The kappa results show that MCBRank achieves a better agreement towards the Gold Standard with kappa value of 0.60. Therefore, the investigation results support that MCBRank improves the importance of ranking correctness, representing the stakeholders’ wants and the organization's actual needs for the potential e-library system.
Sabrina Ahmad, Riftika Rizawanti, Terry Woodings and Intan Ermahani A. Jalil, “MCBRank Method to Improve Software Requirements Prioritization” International Journal of Advanced Computer Science and Applications(IJACSA), 13(7), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130728
@article{Ahmad2022,
title = {MCBRank Method to Improve Software Requirements Prioritization},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130728},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130728},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {7},
author = {Sabrina Ahmad and Riftika Rizawanti and Terry Woodings and Intan Ermahani A. Jalil}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.