优化需求优先级:基于多数票的目标法与垂直二元搜索

Madala Guru Brahmam, Vijay Anand R, Veena Grover, Saikat Gochhait
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引用次数: 0

摘要

企业、组织和行业越来越需要对需求进行优先排序,这就强调需要一种高效的方法来满足客户的需求。基于多数投票目标(MVGB)的优先级排序策略与垂直二进制搜索方法相结合,为按重要程度排列需求提供了完整的解决方案。本文详细介绍了 MVGB 和垂直二进制搜索技术,以及符合二进制搜索原则的四步方法。利益相关者的决定及其为每项要求分配的选票是该方法的基础,并由此得出计算值。通过对 MVGB 方法与其他需求优先级排序方法(尤其是多重投票法和二元搜索法)进行比较分析,可以看出 MVGB 在速度、容错性、可靠性和其他关键标准方面的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing Requirements Prioritization: Majority Voting Goal-Based Approach with Vertical Binary Search
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.
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