A Divide & Concur Approach to Collaborative Goal Modeling with Merge in Early-RE

A Divide & Concur Approach to Collaborative Goal Modeling with Merge in Early-RE
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DOI:
10.1109/re54965.2022.00009
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发表时间:
2022-08
期刊:
2022 IEEE 30th International Requirements Engineering Conference (RE)
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通讯作者:
Kathleen R. Hablutzel;Anisha Jain;A. Grubb
Kathleen R. Hablutzel;Anisha Jain;A. Grubb
中科院分区:
其他
文献类型:
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作者:
Kathleen R. Hablutzel;Anisha Jain;A. Grubb

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目标建模使利益相关者在项目的早期阶段的启发,方法是在本文中创建初始目标所需的努力,我们提出了一种正式的方法,即一旦匹配了这些要素,就可以自动合并意图和参与者的属性。静态模型以及具有定时信息的模型,使用幻觉,矛盾和共识的原则。
Goal modeling enables the elicitation of stakeholders’ intentionality in the earlier stages of a project. Often, approaches are limited by the effort required to create an initial goal model. In this paper, we investigate the problem of model merging for Tropos goal models. Specifically, we propose a formal approach to the problem of automatically merging the attributes of intentions and actors, once these elements have been matched. Additionally, recent approaches have investigated answering questions about future evolutions of stakeholders’ projects with goal models. In this work we consider both static models, as well as those with timing information, using the principles of gullibility, contradiction, and consensus. We study our implementation and validate the merge operation on a variety of models from the literature.