Enhancing Automation Efficiency for a Digital Insurance Application
Client: A leading digital insurance provider
Our client, a leading digital insurance provider, operates a web and mobile application (iOS and Android) to cater to their diverse customer base. Ensuring seamless functionality across these platforms required a robust test automation framework. However, the complexity of the application and test environments posed significant challenges that impacted efficiency and reliability.
Challenge:
Massive Test Data Requirements The insurance application demanded extensive and varied test data for its regression suite of 560 test cases. Every time the Application Under Test (AUT) was deployed to different test environment instances, the entire test data had to be recreated. Test data creation took over a day due to: (a).Application slowness (b).The complexity of data input criteria Test Flakiness (a).Frequent selector updates in the application caused script failures (b).Page load and script synchronization issues further led to inconsistent results, undermining confidence in the automation framework.
Solution:
To address these challenges, we enhanced the existing framework by incorporating the following feature: 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. Client Impact: 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.