RQ continuously captures source code metadata and runtime execution, correlating both into an execution knowledge base that grows with every commit and application execution.
RQ continuously observes both your source code and application runtime. Together they form a reusable execution knowledge base.
The RQ Agent continuously scans your Git repository, extracting commits, files, symbols, methods and metadata required for future correlation.
Lightweight RQ Tracers observe real application execution, recording methods, APIs and automated tests with minimal changes to source code.
Source code metadata and runtime observations are correlated to build relationships between commits, methods, APIs and automated tests.
Source revisions become traceable.
Runtime execution identifies executed methods.
Historical executions are preserved.
Each execution contributes additional relationships to the execution knowledge base, enabling future code changes to be analyzed using historical execution data.
Identify candidate regression tests using historical execution.
Navigate between commits, methods and tests.
Assess release readiness using historical execution data.
Explore how the execution knowledge base is used to analyze code changes, trace execution and understand application behavior.
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