摘要
基于组件的开发（CBD）提供了一种灵活、高效的开发应用程序的方法。在
本文中，作者采用了组件化的思想，设计了一个决策支持系统（DSS）开发环境。
该开发环境提供了一个可视化的，结合了传统DSS中关键的模型库技术和现代
决策支持技术数据仓库、OLAP等的DSS开发平台。
本文首先阐述了组件化程序设计的概念和方法，并简要介绍了决策支持系统
的发展和相关技术，然后对系统的体系结构、功能设计、模块划分、实现技术等
进行了详细的分析和讨论。
作者将组件化的思想应用于系统的设计与开发，并从中总结出一些组件划分
和接口定义的原则。由于融入了组件化的思想，决策支持系统模型库不再存储由
特定的模型描述语言描述的模型，模型以组件方式实现，模型库则以组件仓库形
式实现。本文详细探讨了在系统中动态的装载、调用、管理组件的技术。本文在
决策支持系统中提出了“数据回流”，即将决策者的决策结果直接送回数据库。
文中给出了“数据回流”的具体实现技术。采用“数据回流”技术，使处理日常
事务的管理信息系统与决策支持系统结合为一体成为可能。本文还讨论了在基于
关系模型的数据库上建立OLAP查询，将XML应用于系统的存储和组件之间的
通信等技术。
Component Based Development provides developers with a method for building
applications that are flexible and able to accommodate the ever-changing demands of
users in a cost-efficient and timely manner. In this article, the author presents the
design of a DSS Developing Environment using component-based approach. This
environment provides a visualized DSS developing platform, which integrates
traditional Model base technology and modem decision support technologies such as
Data Warehouse and OLAP.
The article begins with an introduction of the conception and method of
Component-Based Development. After that, it briefly introduces the development of
DSS and some important technologies that are bound up with DSS. The author then
put due emphasis on the architecture design, function design, component design, and
implementation technologies of the system.
From the process of applying component-based idea to the design of the system,
the author has derived some principles for determining the component boundaries and
finding interfaces. In the developing environment, the model base is a component
repository rather than repository for models built with specific model describing
language. The author expounds the technology of how to load, call, and manage the
components dynamically. Another key point of the article is bringing up the idea of
“Data Backflow” that is to send the decision of policymaker directly back into the
database. The implementation technology for “Data Backflow”is expounded in the
article. “Data Backflow”enables the integration of Management Information System
(MIS) and DSS. The author also discussed other implementation technologies, such as
setting up OLAP queries based on relational database, applying XML to data store
and coniniumcation between components.
引文
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硕士研究生学术论文
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