Software Unit Dependency Graph for Code Change Testing

The patent segments the codebase into software units and creates a dependency graph to identify and test only the relevant segments affected by changes. This segmentation allows comprehensive testing of critical paths without requiring exhaustive testing of the entire system, thus maintaining high test quality while reducing time consumption.

The patent applies partial action by performing testing only on the necessary subset of code affected by changes rather than the entire codebase. The dependency analysis identifies the minimal set of test cases needed to verify quality, avoiding excessive testing of unrelated code sections.

The codebase is divided into discrete software units with documented dependencies. The dependency graph segments the testing workload into manageable units, allowing the system to focus computational resources only on testing the specific units and their dependencies that are affected by changes, rather than testing everything.

The patent performs preliminary dependency analysis before testing to pre-identify which code units and test cases are relevant. This preliminary action of mapping dependencies allows the system to efficiently select only the necessary test cases, avoiding wasteful computation on unrelated code paths.

The patent introduces a dependency graph as an intermediary structure that systematically represents code relationships. This intermediary automates the complex task of tracking dependencies between software units, making the precision achievable through structured analysis rather than ad-hoc complex reasoning.

The patent replaces manual, complex dependency tracking with an automated computational system that builds and queries dependency graphs. This substitution of mechanical analysis with algorithmic processing achieves high precision in identifying relevant tests while managing system complexity through automation.