Software defects can cause problems in applications, so predicting and preventing them is important. Researchers used data mining techniques like Artificial Neural Network and K-Nearest Neighbor to create a model for predicting software defects. They found that the model was very accurate in classifying defects. Fixing software errors early can save time and money, and predicting defects helps developers make better software.