id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-2114	Srinivasa Rao Kongarana	Nonlinear Reinforcement Learning-Based Dynamic Test Case Prioritization with Anomaly Detection for Continuous Integration	2024	21	.pdf	application/pdf	9717	627	54	Test case prioritization (TCP) is a critical process that determines the order in which test cases are executed to maximize fault detection while minimizing testing time and resources. The reinforcement learning agent dynamically prioritizes test cases based on historical data, continuously learning and improving from an experience replay buffer.	cache/cana-2114.pdf	txt/cana-2114.txt