Invention Grant
- Patent Title: Software regression recovery via automated detection of problem change lists
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Application No.: US16424720Application Date: 2019-05-29
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Publication No.: US11625315B2Publication Date: 2023-04-11
- Inventor: Chandramouleeswaran Krishnaswamy , Neetha Sumana Tuluri , Rahul Nigam , Parminder Pal Singh , Mark R. Gilbert
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Newport IP, LLC
- Agent Leonard J. Hope
- Main IPC: G06F11/00
- IPC: G06F11/00 ; G06F11/36 ; G06F8/65

Abstract:
Systems and methods for automatically recovering from software regression in a cloud computing environment. One example method includes determining, with an electronic processor, that a batch software update has been applied to the cloud computing environment. The method includes, in response to determining that a batch software update has been applied, transmitting a problem request to an event listener server. The method includes receiving, from the event listener server, a problem statement including a stack trace. The method includes determining, based on the stack trace, a software feature indicator. The method includes transmitting the software feature indicator to a root cause analyzer. The method includes receiving, from the root cause analyzer, a change list indicator and a relevancy score associated with the change list indicator. The method includes performing a mitigation action based on the change list indicator when the relevancy score exceeds a relevancy threshold.
Public/Granted literature
- US20200379875A1 SOFTWARE REGRESSION RECOVERY VIA AUTOMATED DETECTION OF PROBLEM CHANGE LISTS Public/Granted day:2020-12-03
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