Historical Information Stability based Reward for Reinforcement Learning in Continuous Integration Testing

2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS)(2021)

引用 0|浏览11
暂无评分
摘要
In the continuous integration, test case prioritization can effectively alleviate the resource-intensive problems associated with frequent integration commits. Test case prioritization in continuous integration is a sequential decision problem from which reinforcement learning is applied and can effectively adapt and learn from a changing environment. However, continuous integration testing brings...
更多
查看译文
关键词
continuous integration,test case prioritization,reinforcement learning,reward strategy,test case synchronization,test case diversity
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要