A major international hotel retailer partnered with UltimateQA to overhaul a failing mobile automation program. Their existing framework, built with Appium, Java, TestNG, and Cucumber, was slow, brittle, and unable to scale. Instead of accelerating releases, it frequently blocked deployments and drained engineering time.

UltimateQA rebuilt the automation ecosystem using modern engineering practices, parallel execution, AI automated testing, and proprietary Claude Code standards. The result was a dramatic improvement in speed, reliability, maintainability, and developer productivity.

Client Challenges

1. Extremely Slow Execution

A single mobile test took ~20 minutes.
Hundreds of steps per scenario.
No ability to run tests in parallel on iOS and Android.

2. Outdated and Over-Engineered Architecture

TestNG with zero parallelization.
Cucumber added unnecessary complexity.
Fragile locator strategy and monolithic test flows.
Difficult to maintain or scale.

3. High Flakiness and Low Confidence

Unpredictable failures and noise.
Engineers wasted time debugging instead of delivering value.
Automation was seen as a blocker—not a release accelerant.

UltimateQA’s Solution

UltimateQA rebuilt the entire mobile automation ecosystem from scratch with enterprise-grade engineering, a clean Appium with Java architecture, and AI-driven tooling.

Technologies Used

Appium with Java
JUnit 5 (replacing TestNG + Cucumber)
Parallel execution across iOS + Android
Claude Code + Claude.md architecture
GitHub Copilot AI for PR reviews
AI automated testing techniques integrated into delivery

Key Engineering Improvements

1. Migration to JUnit 5 With True Parallel Execution

Replacing TestNG and Cucumber with a modern JUnit 5 engine enabled parallel test execution, reduced overhead, and dramatically simplified the architecture.

2. Modern Appium With Java Automation Architecture

We rebuilt the system using:

Page Object Model
Stable locator strategy (ID-first)
Explicit wait techniques
Clean test layering and modular structure
Robust cross-platform Appium configuration

This improved the long-term maintainability and stability of the client’s automation suite.

3. AI Automated Testing Through GitHub Copilot

UltimateQA integrated AI automated testing practices using GitHub Copilot to:

Accelerate refactoring
Speed up PR reviews
Improve code quality
Catch anti-patterns early
Automate repetitive development workflows

This materially increased the team’s delivery velocity.

4. Claude Code + Claude.md Standardization

UltimateQA used its proprietary Claude Code refactoring system to convert legacy test code into modern best-practice modules rapidly.

The Claude.md specification enforced:

Architecture rules
Naming conventions
Code patterns
Reusable primitives
Locator standards
Reliability practices

Claude Code made it fast and predictable to upgrade large sets of legacy Appium tests into clean, scalable Appium with Java patterns.

5. Reliability-Driven Test Design

Atomic test flows
Clear, consistent assertions
Proper setup/teardown
Removal of long E2E chains
Less branching logic and fewer flaky paths

Results

Execution Time

Before:

≈20 minutes per single test
Serial execution on one device

After:

All 15 mobile tests, across iOS + Android
Completed in 11 minutes total

A 25x+ throughput improvement.

Reliability

Reliability exceeded:

>98% stability

Fewer than 2% of failures were flakes.

Developer Productivity

AI-assisted workflows using GitHub Copilot and Claude Code produced:

Faster reviews
Faster refactoring
Faster onboarding
Faster creation of clean, maintainable tests

Maintainability

Stable architecture
Predictable file structure
Easy onboarding
Simplified debugging
Clear cross-platform patterns

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Client Impact

The hospitality brand reported:

Faster release cadence
Stronger confidence in automation
Reduced manual regression time
Higher mobile app stability
A scalable automation foundation that will last for years

The client was pleased with the results and extended the partnership.

Conclusion

Through modern engineering, a clean Appium with Java architecture, strict CodeClaude standards, and AI-automated testing, UltimateQA transformed an unreliable automation suite into a high-speed, ultra-reliable mobile testing platform.

If your organization needs to modernize its mobile automation stack or implement AI-accelerated testing at scale, UltimateQA can help you achieve identical—or better—results.

25x Faster Mobile Testing Using Appium with Java

Overview