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)
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...
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关键词
continuous integration,test case prioritization,reinforcement learning,reward strategy,test case synchronization,test case diversity
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