Software Defect Prediction System Based on Decision Tree Algorithm
Obidike Chinenye,
Kene Tochukwu Anyachebelu,
Muhammad Umar Abdullahi
Abstract:Software defect prediction plays a crucial role in ensuring software quality and minimizing the potential risks associated with defects. This study aims to develop a comprehensive software defect prediction system that utilizes tree-based algorithms to enhance accuracy, feature selection, and evaluation metrics. The study addresses the limitations of previous research by considering a broader range of datasets, comparing computational efficiency with other ensemble techniques, and examining the impact of hyper… Show more
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