Full E2E automation for Web, API and Mobile (NDA)

1. The Challenge

A rapidly growing company (the name is under NDA) specializing in sports betting and online casino platforms faced several challenges in scaling their QA processes to match their fast-paced development cycles:

• Manual Testing Bottlenecks: The QA process was heavily reliant on a large team of manual testers. Regression cycles were time-consuming and inefficient, significantly delaying releases.
• Lack of Test Automation: The company had no existing automation framework, leading to limited test coverage and delayed detection of defects.
• High Regression Time: Manual regression testing consumed a significant portion of the QA team’s time, resulting in delayed feedback loops for developers and slower time-to-market for new features.
• Complex Application Architecture: The platform consisted of web and mobile applications, integrated with multiple microservices and APIs. Ensuring compatibility between components was critical but challenging.
• Production Monitoring Deficiencies: The absence of real-time monitoring and alerting meant that issues often went unnoticed until users reported them to customer support, impacting user experience and customer satisfaction.
• Need for Scalable Automation: The company wanted a robust and scalable automation solution that incorporated cutting-edge technologies, including artificial intelligence (AI), and minimized redundancies in the testing process.

2. The Solution

qantum.one implemented a comprehensive automation strategy from the ground up, leveraging AI-driven tools, no-code solutions, and a modern testing approach to address the company’s challenges and future-proof their QA processes.

1. Building the Automation Framework qantum.one designed and implemented a robust, scalable test automation framework covering web, mobile, and API layers:
   • Web Automation: Automated critical functionalities such as betting, payments, and bonus activation.
   • Mobile Automation: Ensured test coverage across the most popular Android and iOS devices using cloud-based mobile device farms.
   • API Automation: Focused on high-priority scenarios, including payment transaction validations and live odds updates, while reserving complex user flows for end-to-end (E2E) testing.
2. Integration of AI in Test AutomationTo maximize efficiency and effectiveness, qantum.one incorporated AI at various stages of the automation process:
   • Test Case Generation: AI analyzed application flows and user behavior to generate optimized test cases, ensuring high coverage of critical areas while avoiding duplication.
   • Coverage Analysis: AI tools identified gaps in coverage and suggested additional tests at the Unit, Integration, and E2E levels.
   • Flaky Test Resolution: AI algorithms detected and resolved flaky tests by analyzing patterns in test failures, ensuring a stable and reliable automation suite.
   • Code Review Assistance: AI-powered tools reviewed test scripts for adherence to best practices, catching errors before they reached production.
3. Developer-Focused AutomationTo ensure a culture of quality, qantum.one worked closely with the development team to implement testing at the code level:
   • Unit and Integration Tests: Mandatory Unit and Integration tests were introduced for all new features, with enforcement at the pull request level. No code could be merged without adequate test coverage.
   • Contract Testing: Developed contract tests to validate compatibility between microservices, backend, frontend, and messaging queues, reducing integration issues.
4. No-Code SolutionsNo-code platforms were used to complement the automation strategy, enabling faster implementation of repetitive and straightforward test cases:
   • UI Smoke Tests: Login, navigation, and other basic flows were automated using no-code solutions, freeing engineers to focus on more complex scenarios.
   • Visual Monitoring Dashboards: Created dashboards for tracking test execution results, coverage metrics, and production alerts in real time.
5. Continuous Integration and Deployment (CI/CD)The entire automation suite, including Unit, Integration, API, and E2E tests, was integrated into the CI/CD pipelines:
   • Automated test execution was triggered for every code deployment, ensuring immediate feedback and fast resolution of issues.
   • Regression tests were streamlined, reducing manual intervention and enabling quicker releases.
6. Production Monitoring and Alerting qantum.one implemented proactive monitoring solutions to detect issues in production before they could impact end-users:
   • Real-time alerting was configured to monitor production metrics like API response times, transaction failures, and betting performance during peak events.
   • E2E scenarios were selectively executed in production to validate critical flows without disrupting users.
7. Comprehensive Test CoverageThe automation framework prioritized critical areas, ensuring maximum ROI:
   • Betting Functionality: Automated prematch and live betting, real-time odds updates, settlement of bets, and cashout flows.
   • Authentication and Payments: Covered login, registration, and various payment methods (deposits and withdrawals).
   • Online Casino: Automated slot machine launches, bets, and winnings validation.
   • Bonus and Promotions: Ensured bonuses and promotions were applied accurately and displayed correctly in the user profile.
   • Performance Testing: Load testing was conducted during major sports events to ensure stability under high traffic.

3. The Result

The implementation of qantum.one’s AI-driven automation framework delivered transformative results:

• Regression Testing Efficiency: Regression cycles were reduced by over 3x, accelerating time-to-market for new features.
• Enhanced Product Quality: Proactive production monitoring allowed the company to detect and resolve issues before users reported them, improving customer satisfaction.
• Streamlined Development Processes: Developers were empowered to write and maintain Unit and Integration tests, ensuring consistent quality from the ground up.
• Improved Test Coverage: Comprehensive test coverage across web, mobile, and API layers minimized the risk of defects in critical areas.
• Scalable Automation: The combination of AI, no-code tools, and traditional automation methods created a scalable and future-proof testing solution.

By implementing a cutting-edge QA automation strategy from scratch, qantum.one enabled the company to deliver a high-quality product with speed and confidence, securing their competitive position in the fast-paced sports betting and online casino market.