基于组件技术的企业分布式应用开发

作为最大限度软件重用的手段,基于组件技术的软件开发是值得称赞的,这与传统的面向对象开发方法存在着较大的区别.为了成功地为事务领域建模,组件模型必须集成到基于组件的应用开发过程中,该过程从更广阔的上下文例如RM-ODP来考虑问题.     

An RM-ODP enterprise view for spatial data infrastructures

Spatial Data Infrastructures (SDIs) are large, open, distributed and standards-based information systems which intend to facilitate and promote the use of spatial data and spatial services on the Internet. Spatial data describe information tied with locations on Earth, while spatial services allow to manipulate spatial data following a Service Oriented Architecture. This paper proposes to model SDIs as federations of autonomous communities following the enterprise language of the ITU-T and ISO/IEC ‘Reference Model of Open Distributed Processing’ (RM-ODP), and the recently approved ‘Use of UML for ODP Systems Specifications’ (UML4ODP). The enterprise language of the RM-ODP provides a conceptual foundation to address several aspects of SDIs not previously considered from a systems architecture point of view. The use of UML4ODP provides a modeling language to facilitate the exchange of knowledge about SDI, and it is an opportunity to try this recent standard for a class of large and complex systems.     

Enterprise modeling using the foundation concepts of the RM-ODP ISO/ITU standard

Enterprise architecture (EA) projects require analyzing and designing across the whole enterprise and its environment. Enterprise architects, therefore, frequently develop enterprise models that span from the markets in which the organization operates down to the implementation of the IT systems that support its operations. In this paper, we present SEAM for EA: a method for defining an enterprise model in which all the systems are systematically represented with the same modeling ontology. We base our modeling ontology on the foundation modeling concepts defined in Part 2 of ISO/ITU Standard “Reference Model of Open Distributed Processing” (RM-ODP). This work has two contributions to enterprise architecture: the SEAM for EA method itself and the use of Part 2 of the RM-ODP standard as a modeling ontology.