Test Failure Prediction

Test Failure Prediction uses AI to anticipate where product tests will fail, enabling smarter test prioritisation, by predicting failure from test plans, telemetry, and defect history, across product validation and test management.

Validation programmes run large test suites with limited rigs and time, yet most tests pass and add little information. Without a way to anticipate where failures concentrate, teams test broadly and still discover critical failures late in the schedule.

The AI generates failure probability predictions from test plans, telemetry, defect history, and configuration data, highlighting the tests and configurations most likely to fail so they run first.

Improves test failure prediction accuracy and increases defects caught early per test hour spent.

• •Historical test plans, telemetry, defect history, and configuration data are available with stable identifiers and sufficient coverage for the target workflow.
• •Source systems for product validation and test management workflows expose the required records through a repeatable export or service interface.
• •A named business owner exists to review test failure probability scores and confirm the action workflow.