Client Context
A leading insurance provider, launched a multi-platform digital modernization initiative involving Salesforce, IDIT Sapiens Suite, and custom APIs. Despite enhanced capabilities, QA processes were fragmented across UI and API layers.
Key issues included the absence of a regression test suite, undocumented APIs, an unstable UI automation framework, and no centralized test management system. These gaps led to delayed releases, high manual effort, and inconsistent QA sign-offs, especially during weekly release cycles.
Challenges
- No regression pack or automation scripts for UI, resulting in repetitive manual testing
- Missing API documentation (Swagger), hindering validation and automation
- Poorly structured legacy UI framework that lacked scalability and maintainability
- Manual regression took over 3 days, impacting weekly release sign-offs
- Lack of centralized test case repository or execution tracking, reducing traceability
Solution Delivered
Qeagle implemented a strategic test engineering solution that combined framework redesign, test process standardization, and improved team collaboration:
- Developed a comprehensive regression pack covering critical user journeys, automated with Selenium and TestNG
- Built a scalable API automation framework in Java using RestAssured, compensating for the absence of Swagger
- Reengineered the UI automation framework using Page Object Model (POM) to enhance reusability and ease of maintenance
- Reduced sign-off delays by cutting regression test execution from 3+ days to less than 1 day
- Centralized test documentation and execution tracking through Confluence and integrated reporting tools like ExtentReports and Jenkins
Value Delivered
- 60% reduction in manual regression effort, allowing teams to focus on exploratory and risk-based testing
- Automated 500+ test cases across UI and API layers, improving coverage and reliability
- Accelerated release cycles with regression testing time reduced to under a day
- Improved traceability and accountability via centralized test documentation and execution history
- Strengthened collaboration among QA, Dev, and Product teams, ensuring faster issue resolution and feedback loops
- Enabled long-term scalability through maintainable, modular automation frameworks
Impact Highlights
- Improved Scalability: Modular automation framework supporting continuous expansion
- Increased Coverage: E2E and edge case coverage across Salesforce and IDIT workflows
- Faster Time to Market: Regression cycles reduced from 3 days to less than 1 day
- Seamless Maintenance: Easily upgradable framework aligned with ongoing business changes
- Knowledge Centralization: Confluence-based repositories for test artifacts, execution history, and reporting
