Design And Implementation Of Metastrom System Based On Android Platform

In order to achieve the mobility and momentarily of the internal business process management, designed a business process management system based on Android platform. Based on system requirements analysis using Eclipse tools, complete the business process management system based on Android platform; Through Socket programming to achieve the client communicateing with the server. The main functions of the system are to complete opening all the BPM all forms, submitting all sorts of examinations, pushing personal task list and other functions, and test on the device simulator system function and performance, the test results show that the system can accurately provide users with enterprise internal, real-time information and complete operation, with strong practicability, and foreseeable will improve the working efficiency of the enterprise internal.Firstly, Brief introduction of the mobile office, the United States billiton storm system research background and research status quo, on this basis, the frame structure of the Android platform is studied in detail, so as to the selection of communication process, key technology XMPP agreement and user interface design.Secondly, according to the function of the Android platform structure, structure, function and characteristics of XMPP agreement, etc. The system of the client, server, database has carried on the detailed design. The client's design is divided into three aspects: function module design, UI design, and APT protective design; the service side design included server architecture and the design of access; database design is mainly represented by the workflow design. On the basis of the design content one by one for implementation, which is this article to access custom access, APT protection technology research is a more important part of the research.After the design and implementation of a complete system and APT activity study, research mainly aims at the principle and characteristics of PIVY, and clustering analysis of data.Finally, test the actual usage, respectively to test this system functional testing, performance testing.