Toward Reduction in False Positives Just-In-Time Software Defect Prediction Using Deep Reinforcement Learning

• Main Authors: Ismail, Ahmad Muhaimin, Ab Hamid, Siti Hafizah, Sani, Asmiza Abdul, Daud, Nur Nasuha Mohd
• Format: Article
• Published: Institute of Electrical and Electronics Engineers 2024
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software
• Online Access: http://eprints.um.edu.my/45862/; https://doi.org/10.1109/ACCESS.2024.3382991

Deep Q-Network (DQN) is a popular deep reinforcement learning algorithm that has demonstrated promising results across a variety of domains. DQN presents a promising solution to the challenge of lowering false positives in software defect prediction, thereby enhancing the reliability of the predicti...