Design And Implement Of Enterprise Reimbursement System

"Internet+" is the current hot research direction. This technology can be used to promote traditional companies create new value using Internet. Improved reimbursement system is designed and implemented, which combines Internet and corporate reimbursement. The reimbursement system can make enterprises improve management and promote the development of information technology.The reimbursement system is developed using combination framework development composed by Spring, Struts2 and MyBatis. Reimbursement system has an advantage of strong stability, scalability and easy testing. Reimbursement system is divided into four main modules:user management, rights management, budget control, and reimbursement management. Reimbursement system provides services through Web Service technology. The main contents implemented are as follows:1. According to the development needs of the system, the overall logical design is implemented. And the various modules are defined.2. The flow of data between the various system functions is designed using data flow diagram. E-R diagram illustrates the relationship between database tables of data flow diagram and then the table structure of each table is determined.3. Business processes of improved system is designed and described by flowchart. And make use of functional class diagram and sequence diagram toimplement the system.4. The white box testing of reimbursement system is implemented after programming. The test results show that the designed reimbursement system is correct.The reimbursement system can effectively shorten the reimbursement cycle, improve the enterprise internal budget control, and complete enterprise reimbursement and other related data statistics. It is convenient for makers to make decisions based on reimbursement data. The reimbursement data can make financial personnel calculate travel allowance of business staff. The reimbursement system can reduce pressure of corporate personnel. At the same time laid a foundation for the latter part of enterprise data mining.