Industry Solution
Aviation
Aviation does not close. Systems run through the night and across time zones, and a fault never stays where it started: a booking error becomes a queue at check-in, then a late departure, then a rebooking problem at the other end of the network. There is no maintenance window to test in, only a few hours between the last arrival and the first departure. Regression takes days by hand, so teams test what they can reach. RabbitQA runs that matching autonomously, every scenario, every sprint, and keeps each result as a record you can explain years later.
![[object Object]](/images/industries/aviation.jpg)
Key Features
The testing capabilities that matter most for Aviation.
Requirement to test at scale
Thousands of pages of PSS and reservation specification become validated, testable scenarios in days rather than months, with contradictions flagged before a sprint commits to them.
Every passenger channel, one run
Booking, check-in, manage-booking and profile flows executed in parallel across web, mobile web, iOS and Android, so the full suite fits inside the window you actually have.
Migration by parallel run
Legacy and new platform run the same scenarios against the same data. Divergence is reported before cutover, with no planned downtime.
Failures you can act on
Every failed scenario comes back named, with its steps and a video, and flaky ones are separated out before an engineer opens a ticket.
Common Use Cases
Where teams put RabbitQA to work in Aviation.
PSS and reservation cutover
Run the legacy platform and the new one against the same scenario set, so divergence is a report before cutover, not an incident after it.
The four hour window
Booking, check-in, manage-booking and profile flows across four channels, executed in parallel so the suite fits the window rather than defining it.
Pre-peak readiness
Prove the booking funnel holds before the campaign opens, not while it is open.
Key Benefits
Measurable outcomes RabbitQA delivers for Aviation teams.
Regression window: days to hours across every digital channel.
Migration divergences surfaced before cutover, with no planned downtime.
Specification analysis measured in days rather than months.
Every requirement traceable to its test result, exportable on demand.
Frequently Asked Questions
Common questions about RabbitQA for Aviation.
Yes. AutoRunner executes scenarios in parallel across distributed infrastructure rather than sequentially, so suite duration scales with capacity instead of scenario count. Booking, check-in, manage-booking and profile flows run concurrently across web, mobile web, iOS and Android.
By parallel run. The legacy platform and the new one execute the same scenario set against the same data, and every divergence is reported before cutover rather than discovered after it. There is no maintenance window because nothing is switched over untested.
Days rather than months. Analyzer reads the specification, flags contradictions and gaps, and CaseWriter generates the scenarios from what it validates. At SunExpress this produced 15,141 test scenarios from more than 2,500 pages.
Web, mobile web, iOS and Android, validated in the same execution against the same scenario set. MobileHub provides 150+ real handsets, modern and legacy, so a device that only your passengers still use is still covered.
Deployment options include on-premise, where no data and no prompt leaves your environment. Where load testing is in scope through Loadmance, a separate Virgosol service, load generation also runs inside your own infrastructure.
No. Agents do the preparation and the execution. Your team still decides what a divergence means before a cutover, what blocks a release at 02:00, and which flows carry the most passenger risk. That judgement is what the recovered hours go back into.
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