Client Context
A leading insurance provider undertook a modernization initiative to migrate its legacy APIs—predominantly built using Java (REST and SOAP)—to a new C#-based architecture. This large-scale migration spanned 564 APIs across core insurance functions like policy management, claims, endorsements, and customer servicing, involving comprehensive CRUD operations.
Challenges
Validate the functional accuracy and consistency of 564 APIs across both REST and SOAP
Legacy testing framework built with SpecFlow supported only REST APIs and lacked flexibility
Limited reusability and high effort in creating new automated test scripts
Need to align automation closely with ongoing sprints for faster releases
Solution Delivered
Qeagle engineered a robust API automation framework leveraging Reqnroll, replacing the older SpecFlow-based setup. The framework was tailored to support both REST and SOAP services and was designed with a capability-driven approach to accelerate test script development and support in-sprint automation.
Key Features:
- Seamless migration from SpecFlow to Reqnroll with minimal downtime
- Unified validation approach with response and schema checks
- Modular components to reduce script creation and maintenance time
- Agile-aligned automation model ensuring faster feedback loops
Business Impact
Driving Quality at Speed Through Test Automation in Insurance
Impact Area | Result |
Faster Go-To-Market for Digital Insurance Products | 50% |
Reduction in Regression Time | 70% |
Test Coverage Across Complex Systems | 70% |
Improved User Experience With Fewer Defects | 97% |
Impact Highlights
564 APIs automated, spanning critical insurance operations
40% reduction in script development effort via capability-driven design
95%+ accuracy in API regression runs post-migration
Established an extensible QA framework to scale across future integrations
*Note: Visuals representing bar graphs, performance metrics, and automation coverage impact can be added using infographic-style illustrations (e.g., API test coverage graphs, defect reduction trend, sprint-level automation progress).*
