Recall Application
A leading Original Equipment Manufacturer (OEM) in the automotive industry, specializing in the design and manufacture of vehicles. The company faces strict regulatory requirements and strives to maintain the highest standards in quality and safety for its customers.
Business Challenge
The Recall Application is a critical tool for OEMs to manage vehicle recalls efficiently. The system needed to handle the following challenges:
- Accuracy of Recall Data: Ensuring precise recall reports based on Vehicle Identification Numbers (VINs).
- Third-Party Integration: Validating integrations with external vendors like NCOA, Infutor, Equifax, and Carfax to retrieve accurate owner information.
- Data Processing & File Management: Ensuring successful generation and proper placement of output files in SFTP locations after recall jobs are completed.
- System Reliability: Ensuring system stability, especially in cases of job failures.
- Scalability: Supporting various environments, including Test, QA, SIT, Staging, and Production.
Our Approach
We designed and implemented an automation testing solution using Selenium WebDriver with Cucumber, focusing on key areas:
- Comprehensive Testing Framework: Integrated Selenium WebDriver and Cucumber for a behavior-driven testing approach to ensure clarity and collaboration across teams.
- Cross-Environment Flexibility: Enabled seamless test execution across multiple environments and browsers, ensuring consistency in results.
- CI/CD Integration: Integrated with GitLab pipelines to automate test execution for every code commit, ensuring continuous validation and rapid feedback.
- Robust Error Handling: Implemented retry mechanisms to handle job failures, ensuring reliability even under failure scenarios.
- Modular Test Design: Designed reusable test components that minimized maintenance overhead and ensured scalability.
Key Outcomes
- Improved Recall Accuracy: Automated testing ensured that OEMs received precise recall reports based on VINs.
- Enhanced System Reliability: Retry mechanisms minimized downtime and ensured job completion, even after failures.
- Scalability Across Environments: The solution supported seamless execution across multiple environments, catering to diverse business needs.
- Efficiency in Testing: Automated testing significantly reduced manual efforts and improved the time-to-market for the client’s software updates.
- Continuous Feedback: Integration with GitLab pipelines ensured that every code change was validated, enabling early detection and resolution of defects.
Tools and Technologies Used​
- Languages & Frameworks: Java, Selenium WebDriver, Cucumber
- CI/CD Integration: GitLab pipelines
- Execution Modes: In-browser mode on GitLab using Windows slave machines
Client Benefits
Our solution enhanced the client’s ability to manage vehicle recalls efficiently, ensured compliance, and improved data accuracy. The scalable testing framework provided the flexibility needed for future growth while reducing manual testing efforts.