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Please use this identifier to cite or link to this item: http://hdl.handle.net/1812/53

Title: DEVELOPMENT FRAMEWORK FOR SALES FORCE AUTOMATION DOMAIN
Authors: Lily Suryani Safie
Keywords: Sales Force Automation
Issue Date: 26-Apr-2006
Abstract: This dissertation describes the development of a reusable component system for Sales Force Automation (SFA). Thus SFA domain and reuse based software engineering are the focus of the discussion. Development of a tool to support reuse mechanisms comes with the idea of having some kind of manufacturing concept to produce a software system. The lack of component adaptation practices and tools to facilitate the development of Sales Force Automation (SFA) systems has created the needs to build a tool to automate the generation of SFA systems. Reviewing the software reuse theories and discussions has led to implementing the domain engineering processes, component-based approach and generative approach in developing an SFA reusable component system. The reusable component system created for this project forms an architecture framework that can be used to build a specific SFA application. Production of the architecture framework is made by the production system based on information supplied by developers. The semi-completed framework generated requires customization from developers in order to build a complete concrete SFA solution. Domain engineering, which is the fundamental process that has been used to develop the development framework and the generator, is the center of subject of this dissertation. The production interface uses Torque, Struts, Apache ANT and Velocity to work as the generator for SFA component system. The common architecture framework and the production system form the development framework for SFA domain. The overall development that revolves around domain engineering concepts and methodology concludes with project learning experience and recommendation for future development.
Description: Master of Software Engineering
URI: http://dspace.fsktm.um.edu.my/handle/1812/53
Appears in Collections:Masters Dissertations: Computer Science

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