授权业务用户分析企业架构:结构模型匹配以配置可视化

S. Roth, M. Hauder, M. Zec, A. Utz, F. Matthes
{"title":"授权业务用户分析企业架构:结构模型匹配以配置可视化","authors":"S. Roth, M. Hauder, M. Zec, A. Utz, F. Matthes","doi":"10.1109/EDOCW.2013.46","DOIUrl":null,"url":null,"abstract":"Visualizations are common means to analyze Enterprise Architecture (EA) models and support decision makers with relevant information on organizational processes, information systems, infrastructure, and their interconnections. These EA visualizations are tailored typically to the specific information demand of stakeholders. Currently, creating such stakeholder-specific visualizations requires experts with a strong technical background due to complex configurations and inflexible tool solutions. In particular business users often lack technical expertise. At the same time, their concerns and questions often arise spontaneously. In this vein, visualizations that can be generated without expert knowledge would enable business users to perform ad-hoc analyses of an EA information model. Against this background, we propose a solution which facilitates analyses of arbitrary EA information models by non-technical stakeholders. Our approach is based on ad-hoc, configurable visualizations. We introduce an end-user friendly wizard that lowers the barrier for the creation of EA visualizations. The wizard is based on structural pattern matching of models. Key to our approach are abstract viewpoints that model best-practice knowledge of EA visualizations and abstract view models which model the information demand of abstract viewpoints. Our contributions in this paper are 1) a meta-information model capable to capture both the technical information demand of an abstract viewpoint and the information offer of an EA information model, 2) a pattern matching algorithm calculating viable configurations for bindings of visualizations to information, and 3) a wizard to support non-technical stakeholders with the creation of these visualizations. We present an implementation of our approach and show user interface design of the wizard. The wizard recommends feasible configurations automatically in order to unburden the configuration process for non-technical stakeholders.","PeriodicalId":376599,"journal":{"name":"2013 17th IEEE International Enterprise Distributed Object Computing Conference Workshops","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Empowering Business Users to Analyze Enterprise Architectures: Structural Model Matching to Configure Visualizations\",\"authors\":\"S. Roth, M. Hauder, M. Zec, A. Utz, F. Matthes\",\"doi\":\"10.1109/EDOCW.2013.46\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Visualizations are common means to analyze Enterprise Architecture (EA) models and support decision makers with relevant information on organizational processes, information systems, infrastructure, and their interconnections. These EA visualizations are tailored typically to the specific information demand of stakeholders. Currently, creating such stakeholder-specific visualizations requires experts with a strong technical background due to complex configurations and inflexible tool solutions. In particular business users often lack technical expertise. At the same time, their concerns and questions often arise spontaneously. In this vein, visualizations that can be generated without expert knowledge would enable business users to perform ad-hoc analyses of an EA information model. Against this background, we propose a solution which facilitates analyses of arbitrary EA information models by non-technical stakeholders. Our approach is based on ad-hoc, configurable visualizations. We introduce an end-user friendly wizard that lowers the barrier for the creation of EA visualizations. The wizard is based on structural pattern matching of models. Key to our approach are abstract viewpoints that model best-practice knowledge of EA visualizations and abstract view models which model the information demand of abstract viewpoints. Our contributions in this paper are 1) a meta-information model capable to capture both the technical information demand of an abstract viewpoint and the information offer of an EA information model, 2) a pattern matching algorithm calculating viable configurations for bindings of visualizations to information, and 3) a wizard to support non-technical stakeholders with the creation of these visualizations. We present an implementation of our approach and show user interface design of the wizard. The wizard recommends feasible configurations automatically in order to unburden the configuration process for non-technical stakeholders.\",\"PeriodicalId\":376599,\"journal\":{\"name\":\"2013 17th IEEE International Enterprise Distributed Object Computing Conference Workshops\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 17th IEEE International Enterprise Distributed Object Computing Conference Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EDOCW.2013.46\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 17th IEEE International Enterprise Distributed Object Computing Conference Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDOCW.2013.46","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

摘要

可视化是分析企业架构(Enterprise Architecture, EA)模型和用组织过程、信息系统、基础设施及其相互连接的相关信息支持决策者的常用方法。这些EA可视化通常针对涉众的特定信息需求进行定制。目前,由于复杂的配置和不灵活的工具解决方案,创建这种特定于涉众的可视化需要具有强大技术背景的专家。特别是业务用户往往缺乏技术专长。与此同时,他们的担忧和问题往往是自发产生的。在这种情况下,无需专家知识就可以生成的可视化将使业务用户能够执行EA信息模型的特别分析。在此背景下,我们提出了一种解决方案,它可以促进非技术涉众对任意EA信息模型的分析。我们的方法是基于特别的、可配置的可视化。我们介绍了一个终端用户友好的向导,它降低了创建EA可视化的障碍。该向导基于模型的结构模式匹配。我们方法的关键是建模EA可视化最佳实践知识的抽象视点和建模抽象视点信息需求的抽象视图模型。我们在本文中的贡献是1)一个元信息模型,能够捕获抽象视点的技术信息需求和EA信息模型的信息提供,2)一个模式匹配算法,计算可视化与信息绑定的可行配置,以及3)一个向导,支持非技术涉众创建这些可视化。我们给出了我们的方法的实现,并展示了向导的用户界面设计。向导自动推荐可行的配置,以便为非技术涉众减轻配置过程的负担。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Empowering Business Users to Analyze Enterprise Architectures: Structural Model Matching to Configure Visualizations
Visualizations are common means to analyze Enterprise Architecture (EA) models and support decision makers with relevant information on organizational processes, information systems, infrastructure, and their interconnections. These EA visualizations are tailored typically to the specific information demand of stakeholders. Currently, creating such stakeholder-specific visualizations requires experts with a strong technical background due to complex configurations and inflexible tool solutions. In particular business users often lack technical expertise. At the same time, their concerns and questions often arise spontaneously. In this vein, visualizations that can be generated without expert knowledge would enable business users to perform ad-hoc analyses of an EA information model. Against this background, we propose a solution which facilitates analyses of arbitrary EA information models by non-technical stakeholders. Our approach is based on ad-hoc, configurable visualizations. We introduce an end-user friendly wizard that lowers the barrier for the creation of EA visualizations. The wizard is based on structural pattern matching of models. Key to our approach are abstract viewpoints that model best-practice knowledge of EA visualizations and abstract view models which model the information demand of abstract viewpoints. Our contributions in this paper are 1) a meta-information model capable to capture both the technical information demand of an abstract viewpoint and the information offer of an EA information model, 2) a pattern matching algorithm calculating viable configurations for bindings of visualizations to information, and 3) a wizard to support non-technical stakeholders with the creation of these visualizations. We present an implementation of our approach and show user interface design of the wizard. The wizard recommends feasible configurations automatically in order to unburden the configuration process for non-technical stakeholders.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信