Automated app testing
Automated app testing company for suites your team will actually trust
A test suite only helps if your developers trust its result. As an automated app testing company in Lahore, we write and maintain mobile test suites in XCTest, XCUITest, Espresso, Compose testing, Maestro and Appium, wired into your CI so every pull request gets a clear pass or fail. This is one part of our wider mobile app testing services, and it goes one level deeper: which framework fits each layer, what runs where in the pipeline, and how we stop flaky tests from eroding confidence in the whole suite.
- Native frameworks first: XCTest and Espresso
- Maestro or Appium for cross-app flows
- Runs in your CI, lives in your repo
- Written quarantine policy for flaky tests
What an automated app testing company should hand you
Automation is not a number of test cases. It is a safety net that tells a developer within minutes whether a change broke something that matters, and that the whole team believes. A suite that fails randomly gets ignored, and an ignored suite is worse than none because it creates false comfort.
When we take on automation, you get four things. First, a coverage map that lists the flows and rules that must never break, agreed with your product owner. Second, tests written in the frameworks your developers already use, committed to your repository with readable names. Third, CI jobs that run the right tests at the right stage. Fourth, a flakiness policy and a monthly report on suite health, so the suite stays fast and green as the app grows.
We automate apps we build and apps other teams built. If your app is still being scoped, automation is cheapest when it starts with the first sprint, as part of our iOS app development and Android app development work.
Which test framework for which job
No single tool covers every layer well. We pick the framework closest to the code for fast tests and a flow-level tool only where it earns its keep.
| Framework | Best for | Watch out for |
|---|---|---|
| Swift Testing | New iOS unit tests. Apple recommends Swift Testing (Xcode 16 and later) for new unit tests. | Unit level only; UI and performance tests stay in XCTest. |
| XCTest and XCUITest | iOS performance tests and UI tests through XCUIAutomation, run on simulators in CI and on real iPhones before release. | UI tests are slow; keep them to critical flows and use accessibility identifiers, not visible text, as selectors. |
| JUnit and Robolectric | Android business logic and ViewModels on the JVM, in seconds. | Robolectric fakes the Android framework; anything hardware-related still needs a device. |
| Espresso | Android View-based UI tests. Espresso waits until the main thread is idle, so tests need no sleeps. | Background work it cannot see (custom thread pools, coroutines on other dispatchers) needs idling resources, or tests turn flaky. |
| Compose testing APIs | Jetpack Compose screens, using semantics trees and test tags. | Missing test tags and animations left running are the usual causes of brittle Compose tests. |
| Flutter integration_test, Detox | Flutter widget and integration tests; Detox for React Native end-to-end runs. | Native dialogs (permissions, system sheets) sit outside the framework and need platform handling. |
| Maestro | Readable YAML flow tests across iOS and Android: sign-up, login, checkout. Quick to write and easy for QA to maintain. | Less suited to deep assertions on internal state; pair it with unit tests, do not replace them. |
| Appium | Teams with an existing Appium suite, or one framework across many apps and languages. | Slower and more setup than native tools; locator strategy decides whether it stays stable. |
On cross-platform apps we still write some native tests, because platform behaviour such as permissions, deep links and push handling differs between iOS and Android.
What to automate first, and what to leave manual
Start where a regression costs money and where the check is repetitive. That almost always means pricing and validation rules in unit tests, API contract tests for login and payments, and five to ten UI flows covering the core path of the app. Everything else follows usage data and bug history.
Leave some things to people. Exploratory testing, visual polish, new features still changing every sprint, and anything involving real hardware such as the camera, Bluetooth or biometrics are cheaper to test by hand, at least until they settle. Automating a screen that will be redesigned next month is wasted effort.
A good rule: if a manual tester has run the same check on three releases in a row and it has not changed, it is a candidate for automation. If it changed each time, it is not.
Automate first
- Sign-up, login, logout and password reset
- Checkout, booking or the app’s core action
- Pricing, tax, discount and date rules
- API error handling: expired token, 500, timeout
- Deep links into key screens
- Upgrade path from the previous app version
CI integration: what runs where
Tests only protect you if they run without anyone remembering to start them. We wire them into the CI you already use, typically GitHub Actions, GitLab CI, Bitrise, Codemagic or Xcode Cloud, with fastlane handling builds, signing and uploads. Build images must stay current too: since 28 April 2026, Apple requires App Store uploads built with Xcode 26 or later, so a pipeline pinned to an old macOS image stops shipping. Our mobile CI/CD page covers pipeline design in more depth.
On every pull request
Lint, static analysis, unit tests and a small smoke set of UI tests on one simulator and one emulator. The target is a result in roughly the time it takes to make a coffee, so developers wait for it instead of merging around it.
On merge to the main branch
The full UI suite on a wider set of simulators and emulators, then an automatic upload to TestFlight and Play internal testing so the build can be checked on real devices the same day.
Nightly and before release
Longer runs on real devices in a cloud device farm, plus upgrade tests from the previous store version. Results post to Slack or Teams with screenshots and video for any failure.
A note on device clouds
We no longer recommend Firebase Test Lab for new setups. Google has deprecated it and will fully shut it down on 30 September 2027, pointing users to its Developer Device Platform on Google Cloud. If your pipeline uses Test Lab today, we plan the move as part of onboarding, alongside alternatives such as BrowserStack or AWS Device Farm, so nothing breaks on a deadline.
Is your test suite red more often than your app is broken?
Send us read access to your repository and CI. Within one business day we reply with our first view on what is flaky, what is missing and what we would fix first.
Flaky tests: how we keep the suite trusted
A flaky test passes and fails on the same code. The causes are usually boring: a fixed sleep instead of waiting for a condition, tests that share state or depend on run order, animations still playing when the assertion runs, real network calls to a staging server that is slow at night, or test data that another test deleted.
Retrying a failed test three times makes the dashboard green and hides the problem. We allow a single automatic retry only to collect evidence, and every retry is logged. Our working policy is written into the repository:
- Detect: CI tracks pass rate per test over recent runs, so flakiness is measured, not argued about.
- Quarantine: a test that flakes is moved to a non-blocking job within the same day, with an owner and a ticket. The rest of the suite keeps blocking merges.
- Fix or delete: quarantined tests are fixed within the sprint or removed. A test nobody fixes is not protecting anything.
- Prevent: network calls are stubbed with a local mock server, each test creates its own data, animations are disabled in test builds, and UI selectors use stable identifiers.
This matters more than coverage numbers. A suite of 150 trusted tests beats 800 tests that developers have learned to ignore.
How we add automation to an existing app
Most clients come to us with some tests, an old Appium suite nobody runs, or nothing at all. The sequence is the same.
Audit what exists
NDA first, then read access to the repository, CI and crash reporting. We run the current suite, measure duration and pass rate, and list which critical flows have no coverage.
Agree the coverage map
A short document listing the flows and rules that must be automated, ranked by business risk and bug history. You approve it before we write tests.
Make the app testable
Add accessibility identifiers and test tags, a build flag that disables animations, a mock server for the API and seeded test accounts. These small code changes save weeks of brittle tests later.
Write the first critical flows
Unit and contract tests first, then UI tests for the top flows, delivered in two-week sprints with each new test running in CI before it counts as done.
Wire up CI and reporting
Pull request, main-branch and nightly jobs, failure screenshots and video, and a suite health summary posted after each run.
Hand over or maintain
Your developers get a short guide on adding tests to new features. We can keep maintaining the suite, or hand it over fully; either way it stays in your repository.
How automation fits beta testing and release
Automated tests decide whether a build is worth a person’s time; beta testers decide whether it is ready for users. Builds that pass the main-branch suite go to TestFlight and Play internal testing automatically.
Two platform details shape the setup. Apple allows up to 100 internal testers and up to 10,000 external testers on TestFlight, and TestFlight builds expire after 90 days, so an automated upload on each merge keeps testers on a current build. On Google Play, internal testing allows up to 100 testers per app. New personal developer accounts must also run a closed test with at least 12 opted-in testers for 14 consecutive days before production access, which is worth planning before launch week.
Release gates, store readiness and staged rollout are covered on our mobile app testing page and in our app launch checklist. If you would rather add a test automation engineer to your own team, see hire mobile QA engineers.
Automated app testing: FAQs
Should we use Appium or native frameworks like XCUITest and Espresso?
For a single app with its own iOS and Android developers, native frameworks are usually faster, more stable and easier for those developers to maintain. Appium makes sense when you already have a large Appium suite, test many apps with one QA team, or need one language across platforms. Maestro sits between the two for readable flow tests. We often combine native unit tests with Maestro flows.
How long does it take to automate an existing app?
It depends on the number of critical flows and how testable the code is. A first useful suite covering login, the core action and payments usually comes after the audit and a few sprints, not months. We agree a ranked coverage map first, so you see protection grow sprint by sprint instead of waiting for a big delivery at the end.
What causes flaky mobile tests?
The usual causes are fixed sleeps instead of waiting on conditions, tests that share data or depend on order, animations still running, live network calls to slow staging servers, and selectors based on visible text that changes. Espresso’s idle synchronisation helps on Android, but background work it cannot see still needs idling resources. We stub the network, isolate data and quarantine any test that flakes.
Can you add automated tests to a Flutter or React Native app?
Yes. Flutter has widget and integration tests built in, and React Native works well with Jest, React Native Testing Library and Detox. Maestro also runs against both. We still add some native checks for permissions, push handling and deep links, because those behave differently on iOS and Android even when the UI code is shared.
Do you still use Firebase Test Lab?
Not for new setups. Google has deprecated Firebase Test Lab and plans to shut it down fully on 30 September 2027, recommending its Developer Device Platform on Google Cloud instead. If your current pipeline depends on Test Lab, we plan a move to another device cloud during onboarding so your nightly real-device runs keep working well before the shutdown date.
Who owns the tests once they are written?
You do. Tests are committed to your repository from the first day and run in CI under your account, the same as application code. We document how to add tests for new features, so your own developers can extend the suite. If you end the engagement, nothing needs to be migrated or handed back.
Get a test suite your developers trust
Book a 30-minute call. We will look at your current tests and pipeline and tell you the smallest set of changes that would catch the most regressions.