// mobile automation testing services
Mobile Automation Testing Services
QACraft's mobile automation testing services verify your Android and iOS apps where your users actually are — across real devices in the cloud, with Appium-based suites that run in parallel and plug straight into your CI/CD pipeline.
what it is
What Is Mobile Automation Testing?
Mobile automation testing is the practice of using software tools to execute tests against a mobile app automatically — driving real iOS and Android devices, tapping through user journeys, asserting on the UI and the data behind it, and reporting results without anyone tapping a screen by hand. Instead of a person re-checking onboarding, login and checkout on a couple of phones before every release, an automated suite runs them across dozens of device/OS combinations in minutes, on every build.
QACraft's mobile automation testing services cover the full scope of mobile app automation: native Android and iOS automation, cross-platform React Native and Flutter automation, hybrid apps, real-device-cloud execution and parallel regression wired into CI. The goal of Android & iOS test automation is simple: catch the defect that lives on exactly one popular device before your 1-star review does.
our services
Our Mobile Automation Testing Services
We design, build and maintain automation around your app, your device matrix and your risk — not a one-size-fits-all template. Most engagements combine several of the services below.
Automate critical journeys natively with Appium, XCUITest and Espresso — onboarding, sign-in, payments, push, deep links and more. See our Android and iOS testing services.
One automation strategy for native, hybrid and cross-platform apps — Appium for React Native and Flutter, Detox for React Native at the JS layer — so a single suite covers both stores.
Run suites on real hardware through BrowserStack, AWS Device Farm and Sauce Labs — catching sensor, performance and manufacturer-skin issues that emulators miss, without buying a drawer full of phones.
Execute the same flow across many device and OS combinations at once, so a full regression across the fragmentation matrix finishes in minutes instead of days.
Wire suites into Jenkins, GitHub Actions, GitLab CI or Bitrise with per-build smoke gates and nightly regression on real devices, so feedback arrives within minutes of a commit.
Greenfield Appium frameworks — or migration from brittle legacy scripts — documented, maintainable, parallel-ready and fully owned by you.
Flexible engagement models
A QA pod embedded in your team, priced by flows kept green across your device matrix rather than hours. Best for continuous mobile coverage that grows release by release.
One or more mobile automation engineers who plug into your existing process, tools and CI under your leadership — scaled up or down monthly.
We keep an existing mobile suite green: triaging failures, updating tests as apps and OS versions change, and reporting device-farm health — so your team stays focused on features.
tools & frameworks
Tools & Frameworks We Use
Tool choice is decided in Phase 1, against your app architecture (native, hybrid, React Native or Flutter), target devices and CI — never by default. Our Appium testing services sit on top of fluency across the modern mobile automation ecosystem:
The cross-platform standard — one codebase drives both iOS and Android. Our default for new mobile suites.
Apple's native iOS framework for fast, deeply integrated automation on Apple hardware.
Google's native Android framework for fast, reliable in-app UI automation.
Android cross-app and system-level automation — permissions, notifications and device interactions.
Grey-box end-to-end testing built for React Native, with strong synchronisation to cut flakiness.
Low-code mobile automation for teams ramping up without deep coding resources.
Real-device cloud for broad iOS and Android coverage and parallel runs.
On-demand real-device execution that scales with your pipeline.
Real-device and emulator cloud with CI integration and rich reporting.
why automate
Why Automate Mobile Testing?
Manual mobile testing does not scale. Two phones on the team’s desks cannot represent the matrix of devices, OS versions and screen sizes your users actually have — and the bug on a high-share model you don’t own tanks your store rating overnight. Here is what automation changes:
Regression that took days of manual tapping finishes in minutes, so you can ship to both stores on a confident cadence.
Every build is verified across your matrix, catching the defect that surfaces on exactly one device before users do.
Run many device and OS combinations in parallel — coverage that is simply impractical to reproduce by hand.
Cloud device farms test on actual hardware, catching sensor, performance and manufacturer-skin issues emulators miss.
Reclaim QA time from repetitive tapping and redeploy it to exploratory and new-feature testing.
Deterministic, repeatable results across every device — with screenshots, video and device logs captured automatically on failure.
our process
Our Mobile Automation Process
Every engagement follows the same disciplined path — and produces a concrete artifact at the end of each phase, so you always know exactly what you are getting.
Assess & Plan
We pull your install analytics to build the device & OS matrix that reflects your real users, map your critical mobile flows and CI setup, then choose the right framework — native, cross-platform or hybrid.
→ artifact: data-driven device matrix + tooling decisionFramework Setup
We stand up a maintainable Appium framework — page objects, test data, reporting and real-device-cloud config — wired into your repository and pipeline.
→ artifact: running framework + first smoke suite on real devicesBuild & Stabilise
We automate your prioritised flows across Android and iOS, eliminate flakiness, and add parallel cross-device execution and self-healing where it pays off.
→ artifact: regression suite + parallel device-cloud runsRun, Maintain & Scale
Suites run on every build and nightly across the device cloud; we triage failures, maintain tests as the apps and OS versions change, and expand coverage sprint by sprint.
→ artifact: green device-farm dashboard + health reportsSee a parallel device-farm run
A sample run across a parallel device farm — Android and iOS together, every device executing the same automated flow and turning green as it passes.
ai-powered
AI-Powered & Self-Healing Automation
Brittle locators are the number-one reason mobile automation suites get abandoned — and mobile makes it worse. Dynamic IDs, OS updates, manufacturer skins and shifting layouts across screen sizes break tests for reasons that have nothing to do with real defects. AI-powered mobile test automation attacks that maintenance tax directly.
We apply self-healing test automation that detects when a UI element has changed and updates the locator at runtime — keeping suites green through routine app and OS churn while flagging the change for review. We also use AI to assist test creation, prioritise which tests to run on a given change, run visual validation across screen sizes, and triage failures by clustering similar errors across devices.
The result is a mobile suite that survives redesigns and OS upgrades instead of breaking on them. Explore our dedicated AI-powered test automation services for self-healing, AI-assisted authoring and intelligent test selection.
industries
Industries We Serve
We build and maintain mobile automation suites for teams across regulated and high-traffic industries, where reliability and compliance on every device are not optional.
why us
Why Choose QACraft for Mobile Automation Testing
Teams choose QACraft when they want engineers who own outcomes — not a body shop billing hours.
We hold every suite to a strict flake budget — because a test nobody trusts is worse than no test. Red means stop, so your team can act on every failure.
All frameworks, Appium suites and CI config live in your repository from day one. No black boxes, no proprietary tools, no lock-in — ever.
Your suites run in your pipeline from the first sprint — triggering real-device runs and gating merges — not a tool bolted on at the end.
We move in days, not quarters — typically a device matrix in the first week and a first running suite within the opening weeks, so you see value early.
Embed a dedicated mobile QA pod, augment your existing team, or hand us an aging suite to maintain — scaled up or down as your needs change.
Mobile automation connects to your web, automation and AI-powered testing under one team — so coverage is joined-up, not stitched together from vendors.
straight answers
Frequently Asked Questions
Do you test on real devices or emulators?
Both, deliberately. Critical flows run on real hardware across a representative matrix via device clouds such as BrowserStack, AWS Device Farm and Sauce Labs; emulators and simulators extend coverage to the long tail cost-effectively. Real devices catch what emulators cannot — sensors, performance, manufacturer skins and real network conditions.
Which devices and OS versions do you cover?
The ones your users actually run. We build the matrix from your install analytics — not an arbitrary list — covering high-share iPhone and Android models on real hardware and the long tail on the cloud. See our Android and iOS app testing services.
Can you automate mobile regression?
Yes — Appium covers iOS and Android from one codebase, wired into CI with real-device execution, so every build re-verifies your critical flows in parallel without manual tapping. We also use XCUITest and Espresso natively where deeper platform fidelity is needed.
Can you automate React Native and Flutter apps?
Yes. We automate native, hybrid and cross-platform apps — Appium drives React Native and Flutter builds, and Detox covers React Native at the JavaScript layer for fast, reliable end-to-end tests. The right approach is chosen against your app architecture in Phase 1.
Do you integrate mobile automation into our CI/CD pipeline?
Yes. Mobile CI/CD automation is standard in every engagement — we wire suites into Jenkins, GitHub Actions, GitLab CI or Bitrise, trigger real-device runs on every build, and report results straight back to your team with screenshots, video and device logs on failure.
How do you handle Android fragmentation?
By being data-driven, not exhaustive: we prioritise the manufacturers and OS versions in your real usage, cover high-traffic models on real devices, and use the device cloud for breadth — running many device/OS combinations in parallel so coverage is meaningful without infinite cost.
Ready to automate your mobile testing?
Build your plan in 60 seconds — or bring your flakiest mobile suite to a 30-minute call and leave with a device matrix and a single number.