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DECISION MANAGEMENT USING MACHINE LEARNING IN CASE OF ALERTS EMERGING FROM CURRENT CONTROL SYSTEMS
DECISION MANAGEMENT USING MACHINE LEARNING IN CASE OF ALERTS EMERGING FROM CURRENT CONTROL SYSTEMS
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机译:使用机器学习的决策管理如果从当前控制系统中出现警报
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摘要
Described herein is a system and method for determining whether a detected issue in a computing system is a bug introduced by a developer or an intermittent issue. When an issue is detected, information about the issue is received. A determination is then made as to whether the issue is a new issue or whether it has been previously detected. When it is determined that the issue is a new issue, information about the issue is stored in a storage device. A feature vector is generated for the issue and is analyzed to determine a probability that the issue is a bug. When it is determined that the issue is a bug, the occurrence of the issue is reported to a user of the system that can correct the bug. Once the bug is corrected, the correction is provided back to the system and is used to train the system.
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