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1. (WO2018200154) MACHINE LEARNED DECISION GUIDANCE FOR ALERTS ORIGINATING FROM MONITORING SYSTEMS

Pub. No.:    WO/2018/200154    International Application No.:    PCT/US2018/026380
Publication Date: Fri Nov 02 00:59:59 CET 2018 International Filing Date: Sat Apr 07 01:59:59 CEST 2018
IPC: G06F 11/36
Applicants: MICROSOFT TECHNOLOGY LICENSING, LLC
Inventors: VIKJORD, Vidar V.
KARLBERG, Jan-Ove
Title: MACHINE LEARNED DECISION GUIDANCE FOR ALERTS ORIGINATING FROM MONITORING SYSTEMS
Abstract:
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.