Telecommunications
Adding AI-assisted test automation to a mobile release pipeline
How a team could cut the time spent writing and maintaining mobile UI tests.
Illustrative example. This describes a common mobile challenge and an approach Dragonfly consultants could take. It is not a client engagement and does not report real results.
The challenge
UI tests were written by hand, broke often after design changes and were skipped when release deadlines tightened.
The approach
- Use AI tools to draft test cases from user stories, then have engineers review each one.
- Organize tests by critical user journey, such as sign-in, plan changes and bill payment.
- Run the critical tests on every build and the full suite nightly on real devices.
- Track flaky tests in a shared dashboard and fix or remove them each sprint.
What success would look like
Faster release testing, fewer broken builds reaching testers, and tests that the team trusts enough to run every time.
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