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Causal Modelling in Enterprise Architecture Frameworks
Informatica ( IF 2.9 ) Pub Date : 2021-04-02 , DOI: 10.15388/21-infor446
Saulius Gudas

The paper deals with the causality perspective of the Enterprise Architecture (EA) frameworks. The analysis showed that there is a gap between the capabilities of EA frameworks and the behavioural characteristics of the real world domain (enterprise management activities). The contribution of research is bridging the gap between enterprise domain knowledge and EA framework content by the integration of meta-models as part of EA structures. Meta-models that cover not only simple process flows, but also business behaviour, i.e. causality of the domain, have been developed. Meta-models enable to create a layer of knowledge in the EA framework, which ensures smart EA development, allows validation of developer decisions. Two levels of the enterprise causal modelling were obtained. The first level uses the Management Transaction (MT) framework. At the second level, deep knowledge was revealed using a framework called the Elementary Management Cycle (EMC). These two causal frameworks were applied here to justify the causal meta-models of the EA. The new concepts Collapsed Capability, Capability Type and Capability Role which meaningfully complement MODAF with causal knowledge are introduced. Strategic Viewpoint (StV) modelling using causal meta-models is described in detail and illustrated in the case study. The example provided shows a principled way that causal knowledge supports the verification and validation of EA solutions. The presented method provides an opportunity to move the EA development to smart platforms. PDF  XML

中文翻译:

企业体系结构框架中的因果建模

本文探讨了企业体系结构(EA)框架的因果关系。分析表明,EA框架的功能与现实世界域(企业管理活动)的行为特征之间存在差距。研究的贡献是通过将元模型集成为EA结构的一部分,缩小了企业领域知识与EA框架内容之间的差距。已经开发出不仅涵盖简单的流程流,而且涵盖业务行为(即域的因果关系)的元模型。元模型可以在EA框架中创建一层知识,从而确保智能EA开发,验证开发人员的决策。获得了两个级别的企业因果模型。第一层使用管理事务(MT)框架。在第二级,使用称为基本管理周期(EMC)的框架来揭示深层知识。这两个因果框架在这里用于证明EA的因果元模型的合理性。新概念介绍了因果知识对MODAF进行有意义补充的崩溃能力能力类型能力角色。使用因果元模型的战略观点(StV)建模得到了详细描述,并在案例研究中得到了说明。提供的示例显示了因果知识支持EA解决方案的验证和确认的原则方法。提出的方法提供了将EA开发移至智能平台的机会。PDF XML
更新日期:2021-04-02
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