藏文客户关系管理系统的设计与实现
发布时间：2018-11-08 12:11
【摘要】：以设计并实现面向汉语及藏语用户的客户关系管理系统为目标,依据先进的客户关系管理理念和软件工程思想,从需求分析入手,完成系统功能及设计工作,以三层B/S架构作为系统总体架构.系统编码使用Unicode文字编码,以便于藏文及多语言文字的同屏显示及处理.在完成数据库的物理模型和逻辑模型设计工作后,系统前端程序开发在Eclipse环境中使用Java语言完成,后台数据库的建立和维护使用MySQL数据库.最后,完成了系统的功能及性能测试工作.
[Abstract]:In order to design and realize the customer relationship management system for Chinese and Tibetan users, according to the advanced concept of customer relationship management and software engineering thought, the system function and design work are completed from the requirement analysis. Three-tier B / S architecture is taken as the overall architecture of the system. The system code uses Unicode character coding to facilitate the display and processing of Tibetan and multilingual characters on the same screen. After the design of physical model and logical model of database is completed, the front-end program of the system is developed using Java language in Eclipse environment, and the MySQL database is used for the establishment and maintenance of backstage database. Finally, the function and performance of the system are tested.
【作者单位】： 西北民族大学中国民族信息技术研究院甘肃省民族语言智能处理重点实验室;
【基金】：国家科技支撑计划项目(2015BAD29B01)
【分类号】：TP311.52
[Abstract]:In order to design and realize the customer relationship management system for Chinese and Tibetan users, according to the advanced concept of customer relationship management and software engineering thought, the system function and design work are completed from the requirement analysis. Three-tier B / S architecture is taken as the overall architecture of the system. The system code uses Unicode character coding to facilitate the display and processing of Tibetan and multilingual characters on the same screen. After the design of physical model and logical model of database is completed, the front-end program of the system is developed using Java language in Eclipse environment, and the MySQL database is used for the establishment and maintenance of backstage database. Finally, the function and performance of the system are tested.
【作者单位】： 西北民族大学中国民族信息技术研究院甘肃省民族语言智能处理重点实验室;
【基金】：国家科技支撑计划项目(2015BAD29B01)
【分类号】：TP311.52
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