Challenge & Test Requirements:
- A healthcare technology company needed to automate over 1000 test cases across different sub-products, features, and modules.
- The customer was also looking for a reliable and maintainable framework that could be integrated with their CI CD pipeline for nightly builds.
Solution and Approach:
- Applied AI Consulting provided the healthcare technology company with a team of 7 QA Engineers, led by a Sr. QA Architect who was responsible for architecting, designing, and implementing the right automation framework.
- The team chose a BDD-based framework and used Serenity for UI automation and Karate for API automation.
- The team implemented the framework and automated the required test cases within the desired timelines.
ROI:
- The Applied AI Consulting team’s automation efforts enabled the customer to reduce their testing cycle time by 50%, resulting in faster time-to-market for new features and enhancements.
- Fewer production issues resulted in reduced downtime and improved overall efficiency.
- The customer was able to meet their testing requirements and achieve a higher degree of test coverage, resulting in increased customer satisfaction and retention.
Results:
- The automation scripts enabled the team to detect critical issues earlier in the development cycle, reducing the cost of defects and improving overall application quality.
- The Applied AI Consulting team was able to deliver high-quality automation scripts that were integrated into the CI CD pipeline, providing confidence on the build quality.
- Overall, the Applied AI Consulting team’s expertise in QA Automation helped the customer achieve their testing requirements, resulting in better quality, faster time-to-market, and increased user satisfaction.
