Architectural Decision Guidance Across Projects - Problem Space Modeling, Decision Backlog Management and Cloud Computing Knowledge

O. Zimmermann, Lukas Wegmann, H. Koziolek, Thomas Goldschmidt
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引用次数: 38

Abstract

Architectural Knowledge Management (AKM) has been a major topic in software architecture research since 2004. Open AKM problems include an effective, seamless transition from reusable knowledge found in patterns books and technology blogs to project-specific decision guidance and an efficient, practical approach to knowledge application and maintenance. We extended our previous work with concepts for problem space modeling, focusing on reusable knowledge, as well as solution space management, focusing on project-level decisions. We implemented these concepts in ADMentor, an extension of Sparx Enterprise Architect. AD Mentor features rapid problem space modeling, UML model linkage, question-option-criteria diagram support, meta-information for model tailoring, as well as decision backlog management. We validated ADMentor by modeling and applying 85 cloud application design decisions and 75 workflow management decisions, creating one problem and three sample solution spaces covering control system architectures, and obtaining user feedback on tool and model content.
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跨项目的架构决策指导-问题空间建模,决策积压管理和云计算知识
自2004年以来,架构知识管理(AKM)一直是软件架构研究的一个主要话题。开放的AKM问题包括从模式书籍和技术博客中找到的可重用知识到特定于项目的决策指导的有效、无缝的转换,以及知识应用和维护的有效、实用的方法。我们用问题空间建模的概念扩展了之前的工作,重点关注可重用知识,以及解决方案空间管理,重点关注项目级决策。我们在ADMentor (Sparx Enterprise Architect的扩展)中实现了这些概念。AD Mentor的特点是快速的问题空间建模、UML模型链接、问题-选项-标准图支持、模型裁剪的元信息,以及决策积压管理。我们通过建模和应用85个云应用设计决策和75个工作流管理决策来验证ADMentor,创建了一个问题和三个涵盖控制系统架构的示例解决方案空间,并获得了用户对工具和模型内容的反馈。
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