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Author Spotlight: Innovations in iTUG Test for Enhanced Risk Assessment and Cognitive Insights
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在快速发展的软件系统中设计一种代自适应方法,用于对波动性有意识的测试案例优先排序

K Srinivasa Rao1,2, A Ananda Rao3, P Radhika Raju4

  • 1Research Scholar, Department of CSE, College of Engineering, JNTUA, Ananthapur, 515002, AP, India.

MethodsX
|September 22, 2025
PubMed
概括

本研究介绍了使用深度强化学习的测试案例优先级 (TCP) 的自适应框架. 它通过优化测试执行顺序和平衡风险与资源效率来提高效率.

关键词:
因果推理的原因推理.多目标优化多目标优化处理过程 处理过程强化学习是一种强化学习.软件的波动性 软件的波动性测试优先级的测试优先级.

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