SOA解决方案的模型驱动综合

J. K. Strosnider;P. Nandi;S. Kumaran;S. Ghosh;A. Arsnajani
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引用次数: 59

摘要

当前面向服务体系结构(SOA)解决方案的设计、维护和治理方法主要集中在可重用服务组件的流驱动组装和编排上。这种方法在创建行业解决方案中的实际应用受到了限制,因为流驱动的组装和编排模型过于僵化和静态,无法适应复杂的真实业务流程。此外,该方法假设有一个丰富、易于配置的可重用服务组件库,而实际上这些库的开发、维护和管理很困难。IBM研究部率先采用的另一种方法是模型驱动的业务转换(MDBT),它使用模型驱动的软件合成技术,从高级业务流程模型中自动生成生产质量的业务服务组件。在本文中,我们提出了基于MDBT的SOA解决方案实现的业务实体生命周期分析(BELA)技术,并将其集成到面向服务的建模和体系结构(SOMA)中,这是IBM用于SOA应用和解决方案开发的端到端方法。BELA将流程建模范式从以活动为中心转变为以实体为中心。BELA与IT和数据架构师组成流程主题专家团队,以识别和指定业务实体并分解业务流程。支持的合成工具然后自动生成交互的业务实体服务组件及其相关联的数据存储和服务接口定义。我们以一个大型项目为例,展示了这种创新的好处,其中包括与传统SOA方法相比,估计项目成本减少了40%,周期时间减少了20%。
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Model-driven synthesis of SOA solutions
The current approach to the design, maintenance, and governance of service-oriented architecture (SOA) solutions has focused primarily on flow-driven assembly and orchestration of reusable service components. The practical application of this approach in creating industry solutions has been limited, because flow-driven assembly and orchestration models are too rigid and static to accommodate complex, real-world business processes. Furthermore, the approach assumes a rich, easily configured library of reusable service components when in fact the development, maintenance, and governance of these libraries is difficult. An alternative approach pioneered by the IBM Research Division, model-driven business transformation (MDBT), uses a model-driven software synthesis technology to automatically generate production-quality business service components from high-level business process models. In this paper, we present the business entity life cycle analysis (BELA) technique for MDBT-based SOA solution realization and its integration into service-oriented modeling and architecture (SOMA), the end-to-end method from IBM for SOA application and solution development. BELA shifts the process-modeling paradigm from one that is centered on activities to one that is centered on entities. BELA teams process subject-matter experts with IT and data architects to identify and specify business entities and decompose business processes. Supporting synthesis tools then automatically generate the interacting business entity service components and their associated data stores and service interface definitions. We use a large-scale project as an example demonstrating the benefits of this innovation, which include an estimated 40 percent project cost reduction and an estimated 20 percent reduction in cycle time when compared with conventional SOA approaches.
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