计算机与现代化Issue(8)：5-10,6.DOI:10.3969/j.issn.1006-2475.2024.08.002
STRL:基于强化学习的测试算法
STRL:Testing Algorithm Based on Reinforcement Learning
赵花蕊1
作者信息
- 1. 河南省平台经济发展指导中心,河南 郑州 450008
- 折叠
摘要
Abstract
Reinforcement learning has become research focus in the field of machine learning in recent years due to its character-istic of generating dynamic data through interaction with the environment without requiring a large number of samples for training.This paper proposes a new software testing framework STRL based on reinforcement learning,which can effectively solve the problem of long time consuming and low state coverage of regression testing.STRL utilizes reinforcement learning algorithm PPO to achieve efficient adaptive exploration.Experiments results show that the STRL algorithm outperforms manual testing and auto-mated script testing in terms of state coverage and testing time.关键词
人工智能软件/智能化软件/传统软件/软件生命周期/强化学习Key words
artificial intelligence software/intelligent software/traditional software/software lifecycle/reinforcement learning分类
信息技术与安全科学引用本文复制引用
赵花蕊..STRL:基于强化学习的测试算法[J].计算机与现代化,2024,(8):5-10,6.
