Abstract
Event Driven Software (EDS) testing is a very challenging task as a large number of events can be invoked by users. So far it is difficult to test all the user inputs invoked, therefore, test case prioritization is essentially required for giving more priority to test cases which reveal higher faults comparatively. We have proposed test case prioritization for EDS: as the Event Type, Interaction of Event, and Coverage of Event. Priority assigned in the proposed model uses these factors in Adaptive Neuro-Fuzzy Inference System (ANFIS) MATLAB Toolbox based on Neuro-Fuzzy logic model. Evaluation and validation will be done using Average Percentage of Fault Detection (APFD). APFD rate for prioritized sequence using the proposed Neuro-Fuzzy logic model exhibited 81% rate, whereas, non-prioritized test sequences showed70% suggesting, thereby, that after prioritization; rate of fault detection has improved considerably. Data shows that proposed Neuro-Fuzzy logic model is apt for Test Case Prioritization of EDS Testing.
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