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Automation Testing Implementation for a Leading Travel Planner's eCommerce Website in the US

75%

Automation coverage

Implementation of automation testing resulting in significant coverage and reduced manual testing efforts.

2000

Test cases automated

Automation testing enabled comprehensive testing of the e-commerce website and mobile app across various devices and browsers, ensuring consistent performance and user experience.

40%

Reduction in product testing efforts

With automation testing in place, the travel planner experienced a 40% reduction in end-to-end product testing efforts, enabling faster releases and time-to-market.

One of the most renowned travel planners in the United States faced significant challenges with their e-commerce website. The website experienced frequent changes and releases, resulting in a continuous need for testing. However, the absence of automation testing led to a big team of functional testers performing repetitive manual testing tasks, causing inefficiencies and delays in the testing process.

The client is a $20 billion IT giant with operations across the world providing mission-critical IT services. With operations in 70 countries globally, the client drives innovation in the IT world. The client has over 130,000 employees across the world and is a Fortune 500 global IT services leader.

PROJECT SUMMARY

A leading travel planner in the US faced challenges with rapid website releases, the absence of automation, and a burdensome manual testing process. To address these issues, we implemented a comprehensive automation testing strategy. Our team evaluated and selected suitable automation tools, automated critical regression test cases, and conducted cross-browser and device testing using Device Farm. Tests were integrated into the CI pipeline with Jenkins, and the functional testing team received training on the new tools. This resulted in automating 2000 test cases with 75% coverage, reducing manual testing efforts, improving work-life balance for the team, and cutting end-to-end product testing efforts by 40%, ensuring faster and more reliable releases.

CHALLENGES

  • Frequent Changes/Releases: The eCommerce website underwent frequent changes and releases, necessitating rapid and reliable testing to ensure product quality.

  • Absence of Automation: The absence of automation testing resulted in a heavy reliance on manual testing, leading to inefficiencies, delays, and increased testing efforts.

  • Large Team of Functional Testers: A significant number of functional testers were engaged in performing repetitive manual testing tasks, which were time-consuming and prone to human errors.

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SOLUTION

To address these challenges, we initiated a comprehensive solution focused on implementing automation testing practices.


  1. Proof of Concept (PoC) and Automation Tool Identification: The first step involved conducting a PoC to evaluate various automation tools and frameworks like Selenium, WDIO and Appium. Following thorough analysis, a suitable automation tool and framework were identified to meet the organization's requirements.

  2. Identification and Automation of Regression Test Pack: A regression test suite comprising critical test cases was identified and automated to ensure efficient and consistent validation of key functionalities across the e-commerce website.

  3. Cross-Browser and Device Testing with Device Farm: Utilized Device Farm to run automation tests across multiple browsers (Chrome, Firefox, Safari) and mobile devices (iOS, Android) for seamless performance and compatibility across different platforms.

  4. Integration with CI Tool for Continuous Integrations: Automation tests were integrated with Jenkins to enable automated testing as part of the build and deployment process, ensuring early detection of issues and faster feedback cycles.

  5. Functional Team Enablement: To empower the functional testing team, comprehensive training sessions were conducted to enhance their coding skills and proficiency with automation tools and frameworks.

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Incident Response

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