An Approach to Enhance Quality of the Rad Model Using Agents

Abstract

This paper acknowledges the Rapid Application Development (RAD) model as the finest model so far in the development industry. The RAD model requires minimal planning with a fast prototype generation approach with more customer satisfaction and less time consumption. But the way the world is moving with most complex and fast systems, we need more efficient and fast system-building models. Another pitfall of the RAD model that had led to our research is that it is fast but less quality-oriented; also, if developers and customers are not committed to the rapid-fire activities necessary to complete the system in a much abbreviated timeframe, RAD projects will fail. Our approach is to create an extension of the RAD model by changing its requirement-gathering procedures from manual ways to automated requirement gathering using agents, i.e., an entity that can perceive and act according to environments on its own. This technique tends to satisfy customers and by using agents try to make error prone, faster and non-dependable system which saves not only time but also increases quality and efficiency of model. In an automated system, we have used the environment of websites for agents to work on where various types of agents work collaboratively, such as template selection agents, menu bar agents, etc. By using this approach to extract requirements, the quality of the RAD model makes it even better, more efficient and less error prone. To do this, we replaced the manual techniques of requirement-gathering into automated prototyping approach using agents at various stages.