Associating Code With Tests
SeaLights intelligently maps tests to their corresponding code sections, enabling efficient test selection. Here are the three primary methods employed:
Statistical Modeling
Leverages machine learning and AI to analyze each test's impact on code during parallel testing.
Gradually refines code-to-test mapping for increasing accuracy and efficiency over time.
One-to-One Mapping (with OpenTelemetry)
Uses OpenTelemetry instrumentation to capture data on every application operation.
Precisely maps tests to code methods based on comprehensive request tracking throughout your system.
Calibration (with Sequential Testing)
Employs sequential testing to simulate one-to-one mapping results.
Offers immediate and accurate mapping but can be time-consuming compared to other methods.
Statistical modelingOne-to-One MappingCalibration
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