Alaska Airlines/Virgin America reservation system migration
Alaska Airlines' migration of Virgin America's reservations onto its own system caused widespread website and app errors, long call-center wait times, and disrupted travel plans for weeks after the carriers' 2016 merger closed.
The damage was public. The root cause was preventable.
Alaska Airlines' migration of Virgin America's reservations onto its own system caused widespread website and app errors, long call-center wait times, and disrupted travel plans for weeks after the carriers' 2016 merger closed.
What the software actually got wrong
The reservation-system consolidation software was not adequately tested against the full complexity of the combined carriers' fare rules, loyalty programs, and booking records at production scale, producing errors that took Alaska's IT teams weeks to fully resolve.
The reservation-system consolidation software was not adequately tested against...
The reservation-system consolidation software was not adequately tested against the full complexity of the combined carriers' fare rules, loyalty programs
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.
Booking records at production scale, producing errors that took...
booking records at production scale, producing errors that took Alaska's IT teams weeks to fully resolve
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.
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.
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.
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.