US 11,599,354 B2Granted

Detecting misconfiguration and/or bug(s) in large service(s) using correlated change analysis

AssigneeMicrosoft Technology Licensing, LLC

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

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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.

Claims20

Dependent claims

A system, comprising:

a processor;
and
a memory having computer-executable instructions stored thereupon which, when executed by the processor, cause the system to:
for a plurality of code files and a plurality of configuration files that control runtime execution of one or more features in the plurality of code files, train a correlated change model to identify correlated changes across the plurality of code files and the plurality of configuration files using a machine learning algorithm and a refinement algorithm, wherein the machine learning algorithm discovers change rules using a support parameter and a confidence parameter and the refinement algorithm refines the change rules discovered by the machine learning algorithm, and each change rule identifies a set of two or more files that tend to be changed together;
and
store the correlated change model comprising the change rules, the correlated change model being configured to use a particular change rule to detect when a particular configuration file is missing a particular change to enable a particular feature in a particular code file.

3 more elements

A method, comprising:

receiving information regarding a change to a particular code file;
inputting the information regarding the change to the particular code file to a machine-trained correlated change model comprising a plurality of change rules that identify sets of two or more files that tend to be changed together;
receiving, from the machine-trained correlated change model, identification of a particular configuration file that tends to be changed together with the particular code file, wherein the machine-trained correlated change model identifies the particular configuration file based at least on a particular change rule identifying the particular configuration file as having a tendency to be changed with the particular code file;
determining that a corresponding change to the particular configuration file is missing;
and
providing a suggestion to make the corresponding change to the particular configuration file.

3 more elements

A computer storage media storing computer-readable instructions that, when executed, cause a computing device to:

receive information regarding a change to a particular code file;
provide the information regarding the change to the particular code file to a machine-trained correlated change model comprising a plurality of change rules that identify sets of two or more files that tend to be changed together;
receive, from the machine-trained correlated change model, identification of a particular configuration file that tends to be changed together with the particular code file, wherein the machine-trained correlated change model identifies the particular configuration file based at least on a particular change rule identifying the particular configuration file as having a tendency to be changed with the particular code file;
determine that a particular change to the particular configuration file to enable a particular feature in the particular code file is missing;
and
output a suggestion to make the particular change to the particular configuration file to enable runtime execution of the particular feature in the particular code file.

3 more elements

Dependencies are inferred from the claim text.