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Case Study #222 — 300 Software Failure Case Studies

USS Gerald R. Ford EMALS and weapons-elevator software issues

The Navy's newest and most expensive aircraft carrier entered service years late and billions over budget, unable for years to reliably launch aircraft or move munitions at its designed rate.

2017-2022
When it happened
Military / Defense
Sector
#222 of 300
Ranked by documented impact
01 — What Happened

The damage was public. The root cause was preventable.

The Navy's newest and most expensive aircraft carrier entered service years late and billions over budget, unable for years to reliably launch aircraft or move munitions at its designed rate.

Military
Sector affected
2017-2022
Date of the event
#222
Rank in the 300 Software Failure Case Studies
1
Distinct root-cause clause identified below
02 — The Root Cause

What the software actually got wrong

GAO and Navy reports found the electromagnetic launch and recovery systems and the advanced weapons elevators relied on complex, tightly coupled software and control systems that were still being debugged well after the ship's commissioning, repeatedly failing reliability testing and delaying full combat readiness.

01Root Cause

GAO and Navy reports found the electromagnetic launch and...

What Happened

GAO and Navy reports found the electromagnetic launch and recovery systems and the advanced weapons elevators relied on complex, tightly coupled software and control systems that were still being debugged well after the ship's commissioning, repeatedly failing reliability testing and delaying full combat readiness.

How Requs AI Catches This

Requs AI Edge Case flags this exact pattern at the requirements and architecture stage — before a single line of code implementing it exists — so the assumption behind it gets challenged while it is still cheap to fix.

03 — How This Gets Caught Before It Happens

Beyond code coverage and "shall" testing

Root causes like this one rarely show up in code coverage or requirements-compliance testing, because nobody wrote a requirement anticipating the specific edge case that broke. Requs AI Edge Case and Requs AI Software FMEA are built to surface exactly this class of overlooked failure mode — before the software is written.

Requs AI Edge Case

Surfaces this before code exists

Identifies edge cases like this one at requirements and architecture time, using the Common Defect Enumeration to catalog failure patterns seen across hundreds of real-world software failures — including this one.

Requs AI Software FMEA

Connects the failure mode to the hazard

Traces this class of root cause directly to the system-level hazard it can produce, so a defect pattern like this one gets flagged during design review instead of after it ships.

Find the overlooked root causes before they ship.

Schedule a demonstration, or explore how Requs AI Edge Case and Software FMEA use the Common Defect Enumeration.