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Case Study #125 — 309 Software Failure Events Timeline

American Airlines nationwide flight-planning system grounding

American Airlines grounded its entire fleet nationwide for about three hours, delaying hundreds of flights, after a failure in its flight-dispatch computer system.

2013-04-16
When it happened
Aviation
Sector
#125 of 309
Ranked by documented impact
01 — What Happened

The damage was public. The root cause was preventable.

American Airlines grounded its entire fleet nationwide for about three hours, delaying hundreds of flights, after a failure in its flight-dispatch computer system.

Aviation
Sector affected
2013-04-16
Date of the event
#125
Rank in the 309 Software Failure Events Timeline
2
Distinct root-cause clauses identified below
02 — The Root Cause

What the software actually got wrong

A glitch in the airline's flight-planning software prevented dispatchers from reliably calculating and transmitting flight plans to aircraft, and American opted to hold all flights on the ground rather than dispatch them without confidence in the data.

01Root Cause

A glitch in the airline's flight-planning software prevented dispatchers...

What Happened

A glitch in the airline's flight-planning software prevented dispatchers from reliably calculating and transmitting flight plans to aircraft

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.

02Root Cause

American opted to hold all flights on the ground...

What Happened

American opted to hold all flights on the ground rather than dispatch them without confidence in the data

How Requs AI Catches This

Requs AI Software FMEA traces this failure mode back to the system-level hazard it feeds, tagging it against the Common Defect Enumeration so it surfaces in review instead of in the field.

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.