A Novel Approach to Improve Software Defect Prediction Accuracy Using Machine Learning

Key Points

• The central aim is to assess how machine learning can improve the accuracy of predicting software defects.
• Evaluation of machine learning techniques for defect prediction.
• Comparison of prediction accuracy before and after implementing the new approach.
• Analysis of teaching programs related to software defect management.
• Significant improvement in prediction accuracy was observed using machine learning methods.
• Enhanced knowledge among participants regarding software management practices was recorded.