Joint Validation Across Interdependent Code Repositories
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Solution Overview
Problem
In software development platforms, especially those using multi-tenant database systems, code updates across inter-dependent code repositories often result in inaccurate validation due to separate repository-specific validations, leading to false positives or false negatives, as these systems fail to consider correlated code updates in other repositories.
Innovation Solution
Implementing joint validation across code repositories by identifying correlated pull requests, generating a test build based on the current states of multiple repositories, and running validation tests on this build to ensure that code updates do not break dependent code in other repositories, thereby preventing false validation results and ensuring accurate merging of code updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If separate repository-specific validations are performed, then validation speed is improved, but validation accuracy deteriorates due to false positives or false negatives from not considering correlated code updates
Solution Approach 1:
The patent merges separate repository validations into a unified joint validation process. When code dependencies between repositories are detected, the system combines the code updates from multiple repositories and performs a single integrated validation test, ensuring that interactions between repositories are properly accounted for while maintaining efficient validation throughput
Solution Approach 2:
The validation system is segmented into two paths: independent validation for unrelated repositories and joint validation for correlated repositories. This segmentation allows the system to perform quick independent validations when applicable, while switching to comprehensive joint validation only when code dependencies exist, thus balancing speed and accuracy
2Measurement precision
If joint validation across multiple repositories is performed, then validation accuracy is improved, but validation time increases due to processing multiple repositories
Solution Approach 1:
The system performs partial joint validation by including only the specific repositories that have code dependencies with the modified repository, rather than validating all repositories. This selective approach ensures accurate validation of correlated code while minimizing unnecessary validation time for unrelated repositories
Solution Approach 2:
The system performs preliminary analysis to identify code dependencies between repositories before initiating joint validation. By pre-determining which repositories are correlated through dependency analysis, the system prepares the exact scope of joint validation needed, avoiding time-consuming validation of unrelated repositories
Data Source
AI summary
Methods, systems, and devices supporting joint code validation across code repositories are described. Some systems may store code across multiple code repositories, where the code repositories support repository-specific pull requests and validations. However, code stored in one repository may depend on code stored in a different repository. To accurately validate changes to such code, a system may identify a validation trigger for a first pull request (e.g., indicating one or more code changes to a first code repository), determine a second code repository or second pull request related to the first pull request, and generate a test build across the code repositories. For example, the test build may include code updates in the first code repository according to the first pull request and code from the second code repository (e.g., updated according to the second pull request). The system may perform joint validation tests on the test build.