Madala Guru Brahmam, Vijay Anand R, Veena Grover, Saikat Gochhait
{"title":"Optimizing Requirements Prioritization: Majority Voting Goal-Based Approach with Vertical Binary Search","authors":"Madala Guru Brahmam, Vijay Anand R, Veena Grover, Saikat Gochhait","doi":"10.1109/ICETSIS61505.2024.10459533","DOIUrl":null,"url":null,"abstract":"There is a growing need for firms, organizations, and industries to prioritize requirements, which emphasizes the need for an efficient method to satisfy customers. When combined with the Vertical Binary Search approach, the Majority Voting Goal Based (MVGB) prioritization strategy provides a complete solution for arranging needs in order of importance. In this paper, the MVGB and Vertical Binary Search technique are explained in detail, along with a 4-step methodical approach that is in line with the principles of Binary Search. Stakeholder decisions and their allocated votes for each requirement are the basis for the approach, which yields computed values. The superiority of MVGB in terms of speed, fault tolerance, reliability, and other crucial criteria is revealed by a comparative analysis of the approach against alternative demand prioritizing methods, particularly Multi-voting and Binary Search.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETSIS61505.2024.10459533","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
There is a growing need for firms, organizations, and industries to prioritize requirements, which emphasizes the need for an efficient method to satisfy customers. When combined with the Vertical Binary Search approach, the Majority Voting Goal Based (MVGB) prioritization strategy provides a complete solution for arranging needs in order of importance. In this paper, the MVGB and Vertical Binary Search technique are explained in detail, along with a 4-step methodical approach that is in line with the principles of Binary Search. Stakeholder decisions and their allocated votes for each requirement are the basis for the approach, which yields computed values. The superiority of MVGB in terms of speed, fault tolerance, reliability, and other crucial criteria is revealed by a comparative analysis of the approach against alternative demand prioritizing methods, particularly Multi-voting and Binary Search.