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

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

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...

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Bibliographic Details
Main Authors: Ahmad Muhaimin Ismail, Siti Hafizah Ab Hamid, Asmiza Abdul Sani, Nur Nasuha Mohd Daud
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Software defect prediction
Deep Q-Network
false positives
Online Access:https://ieeexplore.ieee.org/document/10485281/

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