Method and system for intelligent routing of software changes

Patent metadata

Field	Value
Publication number	US-2025321725-A1
Application number	US-202418631281-A
Country	US
Kind code	A1
Filing date	Apr 10, 2024
Priority date	Apr 10, 2024
Publication date	Oct 16, 2025
Grant date	—

Abstract

A data processing system includes a processor, and a memory storing executable instructions which, when executed by the processor, causes the processor, alone or in combination with other processors, to implement: a united data platform for extracting data from a software release pipeline for specific software; a software change insights module to generate insights into changes to the specific software on a per build basis using the extracted data; a deployment insights module to generate deployment insights using the extracted data; and a dashboard to organize the generated insights and intelligently route deployment of a build to upgrade the specific software based on the generated insights to expedite deployment.

First claim

What is claimed is:

1 . A data processing system comprising:
a processor, and a memory storing executable instructions which, when executed by the processor, causes the processor, alone or in combination with other processors, to implement:
a united data platform for extracting data from a software release pipeline for specific software;
a software change insights module to generate insights into changes to the specific software on a per build basis using the extracted data;
a deployment insights module to generate deployment insights using the extracted data; and
a dashboard to organize the generated insights and intelligently route deployment of a build to upgrade the specific software based on the generated insights.

2 . The data processing system of claim 1 , wherein the united data platform extracts data from a code source data repository, a build data store and a deployment data store in the software release pipeline.

3 . The data processing system of claim 1 , wherein the software change insights module identifies commits and pull requests with each build and extracts code changes for each pull request.

4 . The data processing system of claim 3 , wherein the software change insights module comprises a code summarization module to call a number of Large Language Models (LLMs) trained on programming code, the call comprising a prompt to summarize changes to the specific software based on the extracted code changes.

5 . The data processing system of claim 4 , wherein the number of LLMs comprises multiple LLMs, each LLM being trained on a different programming language.

6 . The data processing system of claim 1 , wherein the software change insights module comprises a pull request metrics engine to categorize a code change for each pull request in the software release pipeline.

7 . The data processing system of claim 6 , wherein the pull request metrics engine further categorizes a build approval for each build in the software release pipeline.

8 . The data processing system of claim 1 , wherein the software change insights module comprises a build insights dashboard to present a summarization of changes being made to the specific software by the software release pipeline as determined using a number of Large Language Models (LLMs) trained on programming code.

9 . The data processing system of claim 1 , wherein the deployment insights module extracts build, saturation and deployment metrics from the software release pipeline.

10 . The data processing system of claim 9 , wherein the deployment insights module further summarizes a deployment implemented by the software release pipeline using the extracted metrics.

11 . The data processing system of claim 10 , wherein the deployment insights module further categorizes the deployment by type.

12 . The data processing system of claim 11 , wherein the deployment insights module further comprises a deployment insights dashboard to present deployment insights based on the summarization and category of the deployment.

13 . The data processing system of claim 1 , further comprising an insights module to support the dashboard and to processing administrator queries for insights on a per build basis generated by the software change insights module and deployment insights module.

14 . The data processing system of claim 13 , wherein the insights module accepts administrator queries in natural language.

15 . A method comprising:
extracting data from a software release pipeline for specific software; generating insights into changes to the specific software on a per build basis using the extracted data; generating deployment insights using the extracted data; and intelligently routing deployment of a build to upgrade the specific software based on the generated insights to expedite deployment.

16 . The method of claim 15 , further comprising extracting data from a code source data repository, a build data store and a deployment data store in the software release pipeline.

17 . The method of claim 15 , wherein the insights into changes to the specific software are generated by:
identifying commits and pull requests with each build and extracting code changes for each pull request; calling a number of Large Language Models (LLMs) trained on programming code, the call comprising a prompt to summarize changes to the specific software based on the extracted code changes; categorizing a code change for each pull request in the software release pipeline; and implementing a build insights dashboard to present a summarization of changes being made to the specific software by the software release pipeline as determined using a number of Large Language Models (LLMs) trained on programming code.

18 . The method of claim 17 , wherein the number of LLMs comprises multiple LLMs, each LLM being trained on a different programming language.

19 . The method of claim 15 , wherein the deployment insights are generated by:
extracting build, saturation and deployment metrics from the software release pipeline; summarizing a deployment implemented by the software release pipeline using the extracted metrics; categorizing the deployment by type; and implementing a deployment insights dashboard to present deployment insights based on the summarization and category of the deployment.

20 . A data processing system comprising:
a processor, and a memory storing executable instructions which, when executed by the processor, causes the processor, alone or in combination with other processors, to implement:
a united data platform for extracting data from a software release pipeline for specific software;
a software change insights module to generate insights into changes to the specific software on a per build basis using the extracted data;
a deployment insights module to generate deployment insights using the extracted data; and
a dashboard to organize the generated insights and a database to provide the generated insights for software changes and deployments on a per build basis as queried by administrators of the software release pipeline.

Assignees

• Microsoft Technology Licensing Llc

Inventors

• Verma Nidhi
• Inguva Chandra Sekhar
• Neuburger Michael John
• Josefczyk Amy Leigh

Classifications

• G06F8/60

  Software deployment · CPC title

• G06F8/71

  Version control (security arrangements therefor G06F21/57); Configuration management · CPC title

• G06F40/20

  Natural language analysis (semantic analysis of natural language G06F40/30) · CPC title

• G06F8/65 Primary

  Updates (security arrangements therefor G06F21/57) · CPC title