What are common methods to verify avionics software integrity before flight?

What are common methods to verify avionics software integrity before flight?

• A. Manual code review by maintenance staff
• B. Visual checks of indicators only
• C. Checksum/CRC verification, version control, configuration management, and built-in self-tests
• D. Running the software without any checks

Answer: (C)

Ensuring avionics software integrity before flight relies on automated, verifiable checks that detect data corruption and unauthorized changes. Checksum or CRC verification compares the software and its critical data against known good values so any tampering or corruption is detected. Version control provides a traceable history of all changes and ensures the exact approved software revision is used. Configuration management controls the software and hardware settings, libraries, and dependencies to guarantee the correct configuration is deployed. Built-in self-tests run at startup or during operation to exercise essential functions and interfaces, confirming the software and its environment behave as expected. This combination gives both static and dynamic assurance: static checks verify the exact, unaltered software and its configuration, while self-tests validate runtime operation. Relying on manual code reviews alone is impractical for preflight checks and doesn’t verify runtime integrity; visual checks inspect indicators only and miss functional issues; running the software without any checks leaves faults or tampering undetected.

Ensuring avionics software integrity before flight relies on automated, verifiable checks that detect data corruption and unauthorized changes. Checksum or CRC verification compares the software and its critical data against known good values so any tampering or corruption is detected. Version control provides a traceable history of all changes and ensures the exact approved software revision is used. Configuration management controls the software and hardware settings, libraries, and dependencies to guarantee the correct configuration is deployed. Built-in self-tests run at startup or during operation to exercise essential functions and interfaces, confirming the software and its environment behave as expected.

This combination gives both static and dynamic assurance: static checks verify the exact, unaltered software and its configuration, while self-tests validate runtime operation. Relying on manual code reviews alone is impractical for preflight checks and doesn’t verify runtime integrity; visual checks inspect indicators only and miss functional issues; running the software without any checks leaves faults or tampering undetected.