Support for User Generated Evolutions of Goal Models

Boyue Caroline Hu, A. Grubb
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引用次数: 3

Abstract

Goal models are used in early phase requirements engineering to elicit stakeholders' intentions, analyze dependencies, and help stakeholders make trade-off decisions about the project and its interaction with the environment. The Evolving Intentions framework extended goal model analysis to evaluate how models change over time, by creating simulation paths showing possible evolutions of the model. More recently, we extended this analysis to allow users to explore states along the path and generate their own simulation paths. However, this approach is limited by users' ability to comprehend the state space, which grows exponentially with the size of the model. In this paper, we explore using filters to reduce the number of viewable solutions enabling users to create their own simulation results. We present our approach and initial validation, including an analysis of prior models and a review of expert feedback.
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支持用户生成目标模型的演进
目标模型用于需求工程的早期阶段,以引出涉众的意图,分析依赖关系,并帮助涉众做出关于项目及其与环境交互的权衡决策。进化意图框架扩展了目标模型分析,通过创建显示模型可能演变的模拟路径来评估模型如何随时间变化。最近,我们扩展了这种分析,允许用户沿着路径探索状态并生成他们自己的模拟路径。然而,这种方法受到用户理解状态空间的能力的限制,状态空间随着模型的大小呈指数级增长。在本文中,我们探索使用过滤器来减少可见解决方案的数量,使用户能够创建自己的仿真结果。我们提出了我们的方法和初步验证,包括对先前模型的分析和对专家反馈的回顾。
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