Adaptive PSO Based Association Rule Mining Technique for Software Defect Classification Using ANN

The proposed system categorizes various defects by using association rule mining dependent problem classification approach, which is applied to collect the actual defects using recognition. Association rule mining algorithm at times results in useless policies. To avoid this kind of concerns, the principles prior to classification determined by assistance as well as confidence value has to be optimized. In this exploration, Adaptive Particle Swarm (APSO) optimization algorithm is used. This can discover the best assistance and confidence value to have the best policies. And finally Artificial Neural Network (ANN) can be used to classify the actual defects determined.

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