公开(公告)号：US11599354B2

公开(公告)日：2023-03-07

申请号：US16515135

申请日：2019-07-18

Applicant: Microsoft Technology Licensing, LLC

Inventor： Ranjita Bhagwan ,  Chandra Sekhar Maddila ,  Aditya Kumar ,  Sumit Asthana ,  Rahul Kumar ,  Sonu Mehta ,  Chetan Bansal ,  Balasubramanyan Ashok ,  Christian Alma Bird

IPC: G06F8/71 ,  G06F8/658 ,  G06N20/00 ,  G06F8/41 ,  G06F8/75

Abstract: Described herein is a system and method for detecting correlated changes (e.g., between code files and configuration files). For a plurality of code files and a plurality of configuration files, a correlated change model is trained to identify correlated changes across the code files and the configuration files using a machine learning algorithm that discovers change rules using a support parameter, and, a confidence parameter, and, a refinement algorithm that refines the discovered change rules. The correlated change model comprising the change rules is stored. The correlated change model can be used to identify potential issue(s) regarding a particular file (e.g., changed code or configuration file(s)). Information regarding the identified potential issue(s) can be provided to a user.

公开(公告)号：US11977606B2

公开(公告)日：2024-05-07

申请号：US17607621

申请日：2021-08-31

Applicant: Microsoft Technology Licensing, LLC

Inventor： Ranjita Bhagwan ,  Sonu Mehta ,  Arjun Radhakrishna ,  Sahil Garg

IPC: G06F16/35 ,  G06F16/2455 ,  G06F18/2323

CPC classification number: G06F18/2323 ,  G06F16/24564 ,  G06F16/24565 ,  G06F16/35

Abstract: A computer implemented method includes obtaining multiple configuration files that include configuration commit histories, detecting patterns in parameter values in the configuration files to generate file-based rules for configuration parameters, detecting patterns in parameter values in the configuration files to generate history-based rules using commit histories for the configuration parameters, and exposing the rules to calling programs.