EVENT DRIVEN OPTIMIZER: AN APPROACH TO OPTIMIZE THEEVENTS THAT TRANSITION FROM INCEPTIONTO ELABORATION PHASE
Keywords:
Event, Event Aggregator, Stochastic Event Parser, Monte Carlo Event Correlator, Event OptimizerAbstract
Research indicates that a week’s effort on coding and testing is equal to 9 weeks’ effort on its requirements gathering. Most of the companies today put their effort initially on project planning. They follow a strict determined well-planned approach to meet their deadlines. Researches on Requirements Gathering encompass a wide range of techniques. It is clear from the research that a System can be developed at ease with those techniques but those techniques do not help Users’ in specifying that System. This paper discusses Event Driven Approach that helps in specifying System by gathers Requirements in less time. By using Stochastic Event Parser we classify the listed Events and by applying Monte Carlo Event Correlator we find Correlated Events. We provide a prototype called Event-Driven Optimizer that optimizes the Correlated Events thus producing minimized, Unique and Functional Events.
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