API-Driven Test Data Creation :

• (a).Integrated API libraries into the framework to generate test data programmatically.
• (b).Developed a Test Data Engine to dynamically create synthetic and meaningful data at runtime.
• If input fields like customer name, address, pincode, or insurance coverage were missing or marked as 'X' in the test data sheet, the engine auto-generated them.

API-Driven Test Data Creation :

Implemented a Continuous Integration/Continuous Deployment (CI/CD) pipeline to streamline processes.

The pipeline automatically triggered:

• Test data creation
• Regression suite execution upon merging code to the release branch

Self-Healing and Synchronization Enhancements

Integrated a Self-Healing Utility

• Identified elements with alternate selectors when primary selectors failed.

Added Dynamic Wait Functions:

• Addressed page load and script synchronization issues through reusable wrapper functions, improving stability.

The Results :

Faster Test Data Creation

• Test data generation time reduced from 1 day to 20 minutes using APIs and the Test Data Engine.

Accelerated Regression Runs

• The end-to-end regression suite execution, including data preparation, completed within 3 hours post-deployment.

Reduced Test Flakiness

• The self-healing utility and dynamic waits improved the reliability of test scripts, significantly reducing failures caused by selector updates and sync issues.

Our solution transformed the client's automation process by:

Reducing Turnaround Time: From 2–3 days to under 4 hours.

Enhancing Reliability: Improved confidence in automation with minimal test failures.

Optimizing Resources: Automation became a valuable asset rather than a bottleneck.