In a do-undo-redo diagnostic approach for mission computers, what is the primary purpose?

In a do-undo-redo diagnostic approach for mission computers, what is the primary purpose?

• A. Plan a series of actions without rollback to surface faults.
• B. Execute actions, undo them, and redo to reproduce faults and isolate causes.
• C. Only perform tests without changing system state.
• D. Use simulation to replace hardware testing.

Answer: (B)

Do-undo-redo testing focuses on controlled state changes to reveal fault conditions in mission computers. You perform an action, undo it to return to the previous state, and then redo or repeat with variations to see if the fault reappears. This cycle lets you observe how the system behaves when a specific condition is introduced and then removed, so you can pinpoint the exact cause by comparing results across the baseline, the changed state, and the restored state. It also supports safe, repeatable testing because you can revert to a known good state after each test, avoiding lingering side effects. The purpose isn’t to plan a fault-free sequence, or to test without changing state, or to replace hardware testing with simulations; it’s to recreate fault scenarios under controlled conditions and isolate the underlying cause.

Do-undo-redo testing focuses on controlled state changes to reveal fault conditions in mission computers. You perform an action, undo it to return to the previous state, and then redo or repeat with variations to see if the fault reappears. This cycle lets you observe how the system behaves when a specific condition is introduced and then removed, so you can pinpoint the exact cause by comparing results across the baseline, the changed state, and the restored state. It also supports safe, repeatable testing because you can revert to a known good state after each test, avoiding lingering side effects. The purpose isn’t to plan a fault-free sequence, or to test without changing state, or to replace hardware testing with simulations; it’s to recreate fault scenarios under controlled conditions and isolate the underlying cause.