CORRELATING INSTANCES OF WRITTEN FEEDBACK TO COMMON EVENTS IN TELEMETRY DATA

CORRELATING INSTANCES OF WRITTEN FEEDBACK TO COMMON EVENTS IN TELEMETRY DATA

Disclosed herein is a system that automatically correlates related instances of written feedback associated with a computer product to relevant telemetry data so that a performance and/or reliability issue associated with the computer product can be identified and fixed in a more efficient manner. T...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: PARIKH, Anjali S, DASAN, Sumit Siva, BHARGAVA, Prachur, BAE, Ryan Sung Jun, WANG, Yijie
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:Disclosed herein is a system that automatically correlates related instances of written feedback associated with a computer product to relevant telemetry data so that a performance and/or reliability issue associated with the computer product can be identified and fixed in a more efficient manner. The system applies a natural language processing model to instances of written feedback that have been received for the computer product to identify a cluster of instances of written feedback which describe the same issue. For each instance of written feedback in the cluster, the system uses an identification and a timestamp to retrieve a telemetry event log. The system analyzes the telemetry event logs to identify a common telemetry event. This effectively correlates meaningful written descriptions with common telemetry behavior(s). Information regarding this correlation is provided to a computing device of a user (e.g., a developer) tasked with examining the performance and/or reliability issue.