制定有效需求优先化技术的相关要素:回顾

Fadhl Hujainah, R. A. Bakar, Essam Alhroob, Basheer Al-haimi, Abdullah B. Nasser
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引用次数: 3

摘要

交付高质量软件系统的关键原因之一是满足涉众的核心需求。软件需求优先级(RP)被用于识别系统涉众所感知的要实现的核心需求。通过提出新的RP技术和评估RP过程的性能进行了各种研究。虽然现有的研究对提高RP的绩效作出了重大贡献,但没有作出明确的努力来分析在制定有效RP过程时应考虑的因素。因此,本研究旨在准确地识别和调查在制定有效RP技术时必须考虑的相关因素。为了达到本研究的目的,本研究采用逐步方法进行,分为三个步骤:研究问题的提出、相关研究的收集和提取研究的分析。研究结果揭示了四个相互关联的要素,这些要素对于获得一个有效的需求选择RP过程是必须考虑的。同时,对每个特定元素的用法进行了精确的描述。这样的调查可以作为指导,协助研究人员和从业者在实现一个有效的RP过程。建议提出一种新技术,同时考虑已识别的元素,以便为需求选择获得有效的RP。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interrelated Elements in Formulating an Efficient Requirements Prioritization Technique: Review
One of the key reasons for delivering a high quality software system is to meet the core requirements of the stakeholder. Software requirements prioritization (RP) is being used to identify the core requirements to be implemented as perceived by system stakeholders. Various research studies have been conducted by proposing new RP techniques and evaluating the performance of the RP process. Although existing studies have made a substantial contribution in improving RP performance, no explicit effort has been made to analyse the elements to be considered in formulating an effective RP process. Hence, this study aims to identify and investigate precisely the interrelated elements which must be taken into account in formulating an effective RP technique. To achieve the aim of this study, the investigation is conducted based on the stepwise methodology which is comprised of three steps: research questions formulation, related studies collection, and analysis of the extracted studies. The findings revealed four interrelated elements that are necessary to be considered to obtain an effective RP process for requirements selection. Also, the usage description of each specified element was precisely elaborated. Such investigation can be used as guide for assisting the researchers and practitioners in attaining an effective RP process. Proposing a new technique is recommended with considering the identified elements for obtaining an effective RP for requirements selection.
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