Adopting a Shift-Left approach to QE, a specialty insurer automates testing and catches defects early in UAT, reducing manual efforts and costs by 30% and increasing productive and workable test cases by 90%.
Large Specialty Insurer Leverages QE Test Automation to Improve User Experience and Accelerate Speed to Market
To support its core modernization project, the insurer invested heavily in automated testing with a goal to improve the experience for internal users. It had launched an automation-first approach to accelerate the speed-to-market of the company’s products and help ensure as defect-free a system as possible for its users.
Tools and Technologies
The insurer leveraged a C# framework for automatic regression testing. Integrated Smoke test automation with the Continuous Integration/Continuous Development (CI/CD) pipeline was used for functional, business process, automation, and regression testing. A Poker Agile estimation approach was used to implement various standard processes to the Azure DevOps workflow management tool.
The Shift-Left approach identified more defects in the development stage. Faulty automation scripts were identified and repaired, performance testing was re-established, and test metrics were standardized, contributing to the project’s success.
The insurer experienced fewer UAT defects and was able to leverage data across multiple downstream applications while reducing test case design efforts. As a result, the company achieved 90% productive and workable test cases, and regression test automation reduced manual test efforts by 30%.
With stabilized and automated test cases, the company achieved 90% productive and workable test cases, and regression test automation reduced manual test efforts by 30%.