Enhancing test data generation via path-grouped reusable prioritized DQN and PSO for mutation testing
This work pioneers integrating Deep Q-Network (DQN) into test data generation optimization, and models iterative test generation as a sequential decision-making process, capturing complex input-testing objective relationships and learning effective action strategies to guide PSO-based evolutionary search.