Case Study: Roche Diagnostics achieves 90% reduction in regression testing times and enhanced test coverage with OpenText UFT One

UFT One AI capabilities improve regression testing times by 90% and enhance test coverage while aligning with corporate DevOps delivery.

Roche Diagnostics, a healthcare diagnostics provider with about 2,800 employees in China, faced a critical bottleneck: entirely manual testing that was repetitive, inconsistent, and unable to scale for agile DevOps delivery. The R&D team needed a more responsive, reliable test environment to meet strict medical-quality requirements and accelerate time to market; open source tools proved unsuitable for their architecture and support needs.

They implemented Micro Focus UFT One and, within a month, integrated its AI-driven object recognition and OCR with their automation stack to enable fully automated, concurrent testing. The result: a 90% reduction in regression testing time (from up to 12 hours to about one hour), broader and more resilient test coverage through test reuse, better alignment with DevOps practices, faster product launches, and improved job satisfaction.

Roche Diagnostics

Tony Tao

Digital Solutions Manager of Commercial Innovation Department