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LOG MESSAGE ANALYSIS AND MACHINE-LEARNING BASED SYSTEMS AND METHODS FOR PREDICTING COMPUTER SOFTWARE PROCESS FAILURES
LOG MESSAGE ANALYSIS AND MACHINE-LEARNING BASED SYSTEMS AND METHODS FOR PREDICTING COMPUTER SOFTWARE PROCESS FAILURES
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机译:日志消息分析和基于机器学习的系统和方法,用于预测计算机软件流程故障
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摘要
In general, embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for software process failure prevention are provided herein. Such embodiments may include steps of: generating error logs at one or more phases of a software process lifecycle; preprocessing each error log to standardize error log data; grouping the preprocessed error logs based on similar characteristics of the preprocessed error logs; associating each group of preprocessed error logs with one or more discrete events of the software process lifecycle; converting each preprocessed error log into a sequence of associated discrete events of the software process lifecycle; merging redundant sequences of associated discrete events of the software process lifecycle; and identifying one or more error causing patterns for software process failure prediction from the sequences of associated discrete events of the software process lifecycle.
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