Evaluate Database Management System Quality By Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) Methodolog

Mendel Pub Date : 2022-12-20 DOI:10.13164/mendel.2022.2.067
Asmaa Jameel Al Nawaiseh, Audi Albtoush, R AL-msie'Deen, Sabah Jamil Al Nawaiseh
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引用次数: 1

Abstract

Any organization that intends to use component-based software development, like outsourcing software, must first evaluate existing components against system requirements to find the best fit among many alternatives. As a result, there should be a mechanism to help with decision-making. Our proposed methodology tries to select the best alternative among available components, using the best decision-making approach. As an integrated method for order preference, the methodology in this paper uses two well-known criterion decision-making procedures, namely Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW). By analyzing and selecting the optimal solution among a variety of Out Sourcing (OS) modules, the new model design makes the decision-making process easier. We evaluated two software attributes and predicted which was more effective. In this case, the advantage of utilizing AHP is that it allows the developer to evaluate the structure of the OS selection problem and calculate weights for the chosen criteria. After that, the SAW technique is used to calculate the alternatives ratings for OS components. The integration strategy used in our model and the resulting preference indication, which is produced as an explicit numeric value.
用层次分析法和简单加性加权法评价数据库管理系统质量
任何打算使用基于组件的软件开发(如外包软件)的组织,都必须首先根据系统需求评估现有组件,以便在众多备选方案中找到最适合的。因此,应该有一个机制来帮助决策。我们提出的方法试图在可用组件中选择最佳替代方案,使用最佳决策方法。作为排序偏好的综合方法,本文的方法采用了两种著名的准则决策程序,即层次分析法(AHP)和简单加性加权法(SAW)。通过分析和选择各种外包模块的最优解决方案,使决策过程更加简单。我们评估了两个软件属性,并预测了哪个更有效。在这种情况下,使用AHP的优势在于它允许开发人员评估操作系统选择问题的结构并计算所选标准的权重。然后,使用SAW技术计算OS组件的备选等级。在我们的模型中使用的集成策略和结果偏好指示,它以显式数值的形式产生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Mendel
Mendel Decision Sciences-Decision Sciences (miscellaneous)
CiteScore
2.20
自引率
0.00%
发文量
7
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