面向更敏捷和灵活的行业解决方案和资产的通用业务组件和服务

M. Luo
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引用次数: 1

摘要

几十年来,许多组织,特别是大型咨询公司,一直在为全球各个行业设计、实施和管理业务解决方案。但由于工艺、工具和技能方面的诸多限制,这些解决方案中的大多数在早期设计阶段就针对个别行业和客户的需求进行了非常具体的设计。因此,重用,更重要的是,管理不断变化的业务需求,几乎变得不可能。面向服务和体系结构、模型驱动的业务开发为我们提供了一种新的、强大的方法来促进基于资产的行业解决方案设计和开发。为了进一步加快这一点,本教程将讨论一种创新的方法,该方法利用了许多经过验证的最佳软件工程实践,从基于对象/组件的技术,元数据驱动的体系结构类型(原型),用于对常见的结构化和某些情况下的非结构化业务实体(如客户、产品、付款等)建模。为了解决从特定行业模型中抽象出这些公共元素所带来的后果,并能够实现简单的基于元数据的转换,我们适当地将业务组件/服务分解为多层业务体系结构。因此,可以对流程/组件/服务进行相应的分解,以促进分解和抽象,同时在各种工件之间保持一定程度的必要可追溯性。在实现阶段,将映射现有资产/操作系统并将其转换为所需的业务组件和服务,以最好地利用这些现有的有价值的行业/客户投资。为了支持这样一个基于SOA的、模型和业务驱动的开发过程,现有的工具,特别是必要的转换和集成功能,需要得到显著的增强。本教程还将基于最近的一些设计和实现提出一些建议,这些建议可用于指导将来跨软件建模、实现和解决方案产品的工具校准和集成工作。此外,我们将介绍如何利用现有的内部或外部资产或产品以及开放的行业参考模型和标准(如ACCORD、ebXML、ARTS/IxRetail)。这项工作是基于作者在领导跨许多行业的大型端到端客户端约定方面的集体经验,同时促进各种行业领先的软件工程最佳实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Common Business Components and Services toward More Agile and Flexible Industry Solutions and Assets
In many decades, many organizations, especially large consulting companies, have been designing, implementing and managing business solutions for every industry around the globe. But due to numerous limitations in process, tooling and skills, most of those solutions were made very specific to individual industry and client needs at its early design stage. Therefore, reuse and more importantly, managing the ever changing business requirements, become almost impossible. Service-orientation and architecture, model-driven business development provides us a new and powerful approach to facilitate asset based industry solution design and development. To further accelerate this, this tutorial will discuss an innovative approach that take advantage of many proven best software engineering practices, from object/component based technology, meta-data driven architecture types (archetypes) that are used to model the common structural and in some cases non-structural business entities such as customer, product, payment, etc. In order to address the consequences introduced by abstracting those common elements out of the specific industry model and be able to enable easy and meta-data based transformation, we properly decompose business components/services into a multi-layered business architecture. Therefore, process/components/services can be decomposed accordingly to facilitate the decomposition and abstraction, while maintaining certain level of necessary traceability across various artifacts. In the realization phase, existing assets/operational systems will be mapped and transformed to the required business components and services to best leverage those existing valuable industry/client investments. To support such a SOA based, model and business driven development process, existing tooling, especially the necessary transformation and integration capability, needs to be significantly enhanced. This tutorial will also present some recommendation based on some recent design and implementation, and they could be used to guide future tooling alignment and integration effort across software modeling, implementation and solution products. In addition, we will present how to leverage existing internal or external assets or product offerings and the open industry reference models and standards (such as ACCORD, ebXML, ARTS/IxRetail). This work is based on authors' collective experience in leading the large end-to-end client engagements across many industries, while promoting various industry leading software engineering best practices.
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