Automated Cross-Repository Change Correlation
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Solution Overview
Problem
Conventional methods require manual searching across multiple version control systems to identify related changes, which is time-consuming and inefficient, especially in software development for micro-services or cloud platforms where changes are spread across disparate repositories.
Innovation Solution
A repository search module is used to automatically search multiple repositories based on selected change attributes, such as metadata, to identify related changes, reducing the time and effort required for developers to correlate and cross-check changes across multiple services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual searching is used across multiple version control systems to identify related changes, then developers can find related changes, but the process is time-consuming and inefficient
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between developers and multiple version control repositories. This intermediary automatically searches across repositories using filters based on selected change attributes (such as commit messages, file paths, authors, or custom metadata), thereby eliminating the need for developers to manually search each repository individually while maintaining accurate identification of related changes.
2Reliability
If developers manually correlate and cross-check changes across multiple services, then they can identify related changes, but the effort and time required increases significantly
Solution Approach 1:
The system enables self-service by automatically performing the change correlation task that would otherwise require manual developer effort. The automated search functionality allows the system to serve itself in identifying related changes across repositories based on user-selected filters, thereby maintaining high reliability in identification while significantly improving developer productivity by eliminating manual correlation work.
3Productivity
If automated search based on change attributes is implemented, then the time and effort to identify related changes is reduced, but the system complexity increases
Solution Approach 1:
The patent implements a universal search system that can handle multiple version control repositories and various change attributes through a single automated interface. This multi-functional system accepts different filter criteria (commit messages, file paths, authors, metadata) and operates across diverse repositories, thereby achieving high productivity in change location while managing system complexity through consolidation rather than requiring separate tools for each repository or attribute type.
Data Source
AI summary
A method includes receiving a selection of a first change to a project in a first repository of a plurality of repositories and identifying one or more attributes of the first change to the project. The method further includes identifying a second change to the project in the plurality of repositories in view of the one or more attributes of the first change and performing an action in view of identifying the second change to the project.