改变意图的建模和推理:一个实验

A. Grubb, M. Chechik
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引用次数: 8

摘要

需求工程中现有的建模方法假设涉众的目标是静态的:一旦设定,它们在项目的整个生命周期中保持不变。当然,像其他任何事情一样,这样的目标可能会随着时间的推移而改变。在早期的工作中,我们介绍了进化意图:一种允许涉众指定目标模型元素的评估如何随时间变化的方法。对进化意图的模拟使利益相关者能够提出各种各样的“如果”问题,并评估目标模型的可能演变。GrowingLeaf是一个基于web的工具,它实现了该方法的建模和分析组件。在本文中,我们研究了进化意图、进化意图模拟和生长叶子的有效性和可用性。我们报告了一个与15名熟悉需求工程的研究生进行的实验。通过使用定性、定量和时间数据,我们发现进化意图是直观的,进化意图的模拟增加了受试者的理解并产生了有意义的结果,并且发现GrowingLeaf是有效和可用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and Reasoning with Changing Intentions: An Experiment
Existing modeling approaches in requirements engineering assume that stakeholder goals are static: once set, they remain the same throughout the lifecycle of the project. Of course, such goals, like anything else, may change over time. In earlier work, we introduced Evolving Intentions: an approach that allows stakeholders to specify how evaluations of goal model elements change over time. Simulation over Evolving Intentions enables stakeholders to ask a variety of 'what if' questions, and evaluate possible evolutions of a goal model. GrowingLeaf is a web-based tool that implements both the modeling and analysis components of this approach. In this paper, we investigate the effectiveness and usability of Evolving Intentions, Simulation over Evolving Intentions, and GrowingLeaf. We report on a between-subjects experiment we conducted with fifteen graduate students familiar with requirements engineering. Using qualitative, quantitative, and timing data, we show that Evolving Intentions were intuitive, that Simulation over Evolving Intentions increased the subjects' understanding and produced meaningful results, and that GrowingLeaf was found to be effective and usable.
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