QA To QE Transformation for one of the Leading Health Technology Customer

Client Overview

One of the world’s largest healthcare companies, the client is firmly committed to improving people’s health and well-being through innovation in everything from artificial intelligence to machine learning and virtual reality.

Challenges

• Inadequate E2E test automation coverage
• High cycle time with multiple COTS test automation tools, leading to high tool and maintenance costs
• Growing test repository with high duplicity and considerable overlap
• Huge regression suite with a short timeboxed execution window
• Complex applications and integrating regulatory systems
• Lack of industrialized test processes and Agile/CI-CD best practices
• Frequent changes in the application
• Lack of a single solution automation framework with a common skillset

LTM Solution

• Selected Tosca for test automation and implemented LTM’s Enterprise BDD with a unified, robust, and scalable framework to integrate and automate front-end and backend systems, achieving 80% regression automation penetration with 60% lesser execution time
• Designed a framework to effectively manage cross-browser capabilities, mobile and API automation, and SAP integration with minimal operating and maintenance costs
• Implemented in-sprint BDD as part of the automation-first shift-left approach, fully aligned with the client-mandated DevSecOps model for faster and efficient testing cycles and coverage 
• Implemented LTM’s regression optimizer and self-healing with a clustering approach to identify duplicates and similar behavior test cases with structured risk-based testing
• Implemented self-healing of automation scripts to accommodate changes in the application 
•  Implemented TCOE model in line with the client's application or business clusters and industrialization of testing processes along with in-house tools and accelerators, SLA-based governance, and KPI-driven delivery.

Benefits

• Reduced 50% cycle time and costs with E2E automation achieved by consolidating multiple automation frameworks into a unified framework 
• Covered up to 60% in-sprint automation with BDD implementation to handle the stringent testing window effectively 
• Saved 15% to 20% of efforts by identifying similar test cases 
• Reduced 30% of maintenance effort with self-healing 
• Provided near 100% automation coverage on test data management and data lake testing on any environment 
• Ensured defect removal efficiency by 98% 
• Delivered on or ahead of time with zero defect leakage in user acceptance testing (UAT)/production and increased productivity.