On eliciting contribution measures in goal models
On eliciting contribution measures in goal models
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关于在目标模型中导出贡献度量
DOI：
10.1109/re.2012.6345808
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Jorge Aranda
中科院分区：
文献类型：
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作者：
S. Liaskos;Rina Jalman;Jorge Aranda
目标模型对于支持早期需求阶段的决策制定过程非常有用。通过度量低级决策对高级质量目标实现的贡献程度，并将它们与优先级声明结合起来，就有可能相互比较需求问题的可选解决方案。但是贡献度量从何而来？为了进行这样的分析，将它们结合起来的正确方法是什么？在本文中，我们描述了如何充分应用层次分析法（AHP）来定量评估基于利益相关者输入的目标模型中的贡献关系，以及我们如何对结果进行推理，以便做出明智的决策。探索性实验表明，所提出的方法是可行的，并提供了证据，所得的目标模型是有用的指导决策。它还表明，手头需求问题的特定情况特征可能以各种方式影响涉众的输入，这一现象可能需要在导出此类模型的上下文中进一步研究。
Goal models have been found to be useful for supporting the decision making process in the early requirements phase. Through measuring contribution degrees of low-level decisions to the fulfilment of high-level quality goals and combining them with priority statements, it is possible to compare alternative solutions of the requirements problem against each other. But where do contribution measures come from and what is the right way to combine them in order to do such analysis? In this paper we describe how full application of the Analytic Hierarchy Process (AHP) can be used to quantitatively assess contribution relationships in goal models based on stakeholder input and how we can reason about the result in order to make informed decisions. An exploratory experiment shows that the proposed procedure is feasible and offers evidence that the resulting goal model is useful for guiding a decision. It also shows that situation-specific characteristics of the requirements problem at hand may influence stakeholder input in a variety of ways, a phenomenon that may need to be studied further in the context of eliciting such models.