A global leader in healthcare technology, the company is dedicated to transforming healthcare through innovative solutions. Their state-of-the-art imaging systems, patient monitoring devices, and informatics solutions are designed to support healthcare professionals across the continuum of care, with a strong focus on innovation and patient-centered care.

The company developed applications with intelligent software, devices, and services to enhance the user experience in healthcare imaging software. These applications serve various functions, including Calling Scenarios, MFE Admin, Multi-Edit and viewing Console, NCC Scenarios, Audit, and Kibana Scenarios.

The primary goals of this case study were to address the identified challenges and improve the efficiency, accuracy, and effectiveness of web application testing for the company. The objectives included:

• Streamlining user setup and application tasks.
• Enhancing sanity testing frequency.
• Incorporating language-specific regression testing.
• Improving UI and desktop NCC scenario testing.
• Simplifying the maintenance of CPP settings.

These improvements aimed to optimize the testing process and deliver a higher-quality web application.

To tackle the identified challenges and meet the outlined goals, the company engaged in a comprehensive solution, implemented in early 2020:

• API+UI Automation leveraging advanced testing tools.
• 130+ Test Cases Automation: Successfully automated over 130 test cases, integrated with Jenkins and Allure Report Analysis.
• Automation NCC Suite and API Automation for CPP Setting Environment: Streamlined testing of NCC scenarios and CPP settings.
• Visual Regression using Percy tool: Implemented visual regression testing to ensure UI consistency.
• Supported UI Rendering Scripts in Performance Testing: Ensured UI rendering efficiency.
• Integrated Testing Tools: Enhanced Continuous Integration (CI) suites, achieving a 0% flakiness rate in CI.

The implementation of these goals resulted in remarkable benefits for the company:

• Reduction in Cycle Times: Achieved a 70% reduction in testing cycle times.
• Improved Productivity: Realized an 80% increase in productivity.
• Automation Coverage: Achieved an impressive 85% automation coverage.
• Reduction in Manual Effort: Reduced the manual effort required to develop automation scripts by 65%.
• Cost Savings: Achieved a cost-saving of 80%.

In conclusion, this case study demonstrates how the company successfully addressed and overcame web application testing challenges, resulting in significant improvements in efficiency, accuracy, and cost-effectiveness. Their commitment to innovation and healthcare solutions is reflected in their dedication to providing cutting-edge solutions for professionals worldwide.