Case Summary
An American Insurance Company, the 7th largest insurance carrier in the United States headquartered out of Chicago, It looked to fully automate quality testing for all their business-critical applications within a one year timeframe.
SLK worked closely with their internal executive team and delivered a holistic QA automation strategy, starting with advisory on automation & toolchain.
The Challenge
The insurance carrier had deployed a test automation strategy that proved inadequate. With a traditional approach to automation, the initiative had succeeded in achieving only 10-15% automation coverage over several years and was limited to web applications & web services, thereby delivering little or no value to the business.
In search of a radically different approach to solving the challenge, the insurance carrier approached SLK with a mandate to automate all their business-critical applications within one year. They looked to implement a robust QA automation strategy that would leverage the right tools to enable them to move to continuous testing and significantly reduce the time spent on regression testing, allowing in-sprint automation and power-on-demand releases.
The Solution
SLK implemented a comprehensive QA automation strategy in a phased approach.
App Documentation:
All business flows were captured & documented.
Test Case Optimization:
Functional Coverage using Lean & Six-Sigma principles 100% end-to-end functionality coverage.
Rapid Automation:
Over 90% automation of test cases across the heterogeneous app landscape. The Insurance carrier achieved its goal of test automation of all business-critical applications within the planned one year timeframe. The QA team successfully implemented in-sprint automation and enabled DevOps with continuous testing. AVO test automation suite consisting of AVO Discover and AVO Assure was also leveraged.
Business Impact
1%
Defect slippage compared to 12% earlier
90%
Reduction in test cycle time
>90%
Coverage of business-critical applications
Continuous release frequency compared to quarterly releases earlier.
