APPLICATION REGRESSION DETECTION IN COMPUTING SYSTEMS

Patent №

US 11,625,310

Granted

2023-04-11

Filed 2021

Owner

MICROSOFT TECHNOLOGY LICENSING, LLC

AI components

1

ml

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17335306

Computing systems, devices, and associated methods of detecting application regression in a distributed computing system are disclosed herein. In one embodiment, a method includes receiving data representing telemetry records from one or more hosts of the distributed computing system. At least some of the telemetry records are exception records individually indicating an operation by a user application has failed during execution. The method also includes determining a failure rate of executing the operation by the user application while compensating for a workload of the user application in the distributed computing system. A comparison is performed between the determined failure rate and a threshold. Based on the performed comparison, a regression notification can be generated to indicate that application regression has occurred notwithstanding the workload of the user application in the distributed computing system.

Machine learningG06F 11/3433G06F 11/0793G06F 11/3428G06F 11/3452G06F 11/3495G06F 11/3608

AI classification

Machine learning0.97
AI hardware0.07
Knowledge representation0.06
Planning0.05
Natural language0.00
Evolutionary computation0.00
Speech0.00
Vision0.00

Ownership

MICROSOFT TECHNOLOGY LICENSING, LLC

assignment · 627450627

Assignors

GONEN, ERAN

On an employer assignment, the assignors are typically the inventors.

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