A Method of Value Model Convergence and Profit Optimization for Crossover Services

A Method of Value Model Convergence and Profit Optimization for Crossover Services
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DOI:
10.1016/j.jksuci.2022.11.002
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发表时间:
2022-11
期刊:
J. King Saud Univ. Comput. Inf. Sci.
影响因子:
--
通讯作者:
Zhengli Liu;Bing Li;Jian Wang;Y. Qiao
Zhengli Liu;Bing Li;Jian Wang;Y. Qiao
中科院分区:
其他
文献类型:
--
作者:
Zhengli Liu;Bing Li;Jian Wang;Y. Qiao

文献摘要

相似文献

价值模型在基于价值的需求工程(RE)中被用来表达利益相关者之间的价值交换关系。跨界服务的价值链跨越多个领域,因此在进行需求分析时需要将多个领域的价值模型进行融合。然而,现有的价值建模方法大多侧重于描述单一领域内的价值传递关系,在处理跨界场景下多领域的复杂价值模型收敛分析方面存在局限性。价值模式趋同后,利益相关者之间的价值交换关系发生了变化。如何使跨界服务提供商获得最大的利润在这些方法中也被省略了。在本研究中,我们提出了一种价值模型收敛方法和一种考虑满足所有利益相关者价值建议的利润优化方法,用于跨界服务价值网络模型收敛分析。我们用一个实验应用来说明所提出的值模型收敛方法的能力和效率。此外,我们比较了所提出的方法与其他方法在完成利润优化任务方面的性能。实验结果表明,该方法具有较好的性能和效率。
Value models have been employed in value-based requirements engineering (RE) to express value exchange relations between stakeholders. The value chain of crossover services spans multiple domains, so it is necessary to converge the value models of multiple domains when conducting requirements analysis. Existing value modeling methods, however, mostly focus on describing the value transmission relations in a single domain and have their limitations in coping with complex value models convergence analysis of multiple domains in crossover scenarios. After the convergence of value models, the value exchange relations between stakeholders has changed. How to make crossover services providers earn maximum profit is also omitted in these methods. In this study, we proposed a value model convergence method and a profit optimization method with consideration of meeting the value proposals of all stakeholders for crossover services value network models convergence analysis. We use an experimental application to illustrate the capabilities and efficiency of the proposed value models convergence method. Furthermore, we compare the performance of the proposed method with other methods in completing profit optimization tasks. The experimental results demonstrate that the proposed method has better performance and efficiency than alternative methods.