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


This case study focuses on enhancing test automation and quality assurance. This includes UI and API tests, code quality checks, new scenarios, and achieving high pass rates. Their efforts generated insightful custom reports, ensured seamless API-UI interaction, optimized test script execution, and enhanced resource efficiency, ultimately bolstering system reliability and healthcare outcomes.


The company’s ongoing engagement targets three pivotal areas:

  • Advancing UI-Based Functional Test Automation and API Test Automation: Strengthening automation of UI and API tests.
  • Sustaining Code Quality Check via automated tools: Ensuring code quality through automated checks.
  • Refining and Strengthening Sanity and Regression Test Cases: Enhancing test case stability.

As the company progresses, their commitment to framework evolution is evident through:

  • Enabling support for multiple builds with respective TestData and apiTestData files.
  • Introducing report path parameterization for efficient parallel execution.
  • Tailoring reporting to specific needs.
  • Creating streamlined “only-API” test cases.
  • Automating post-execution file removal.
  • Integrating tools for heightened parallel test execution efficiency.

Their holistic approach propels continuous enhancement in test automation, code quality, and overall stability, upholding system reliability and efficacy as they navigate toward the future.


The Integrated Digital Monitoring (IDM) System requires efficient and comprehensive testing for functionality, stability, and quality compliance. A traditional approach to automation script development was time-consuming, and handling numerous test cases within the expected timeframe posed a significant challenge.


The goal was to enhance the testing process by implementing UI-based functional and API test automation. The aim was to reduce execution time, stabilize sanity and regression test cases, and ensure code quality through automated checks.


In their current approach, AlgoShack leveraged the algoQA framework to automate the execution of test cases and scripts, resulting in comprehensive reports. The workflow involves distinct phases:

  • Feature Development and Integration Phase.
  • Defect Fix & Support Phase.

Project documentation aligns with stringent standards, integrating framework updates as essential elements. Adherence to industry coding norms is a priority, encompassing integration for duplicate code detection and sharing of scores, along with the elimination of duplicate methods serving the same function. Configuration management practices are cooperatively established.

In terms of deployment, their CI/CD: Way of Working (WoW) entails AlgoShack managing environment setup in collaboration, addressing library setup and script concerns, ensuring script acceptance through successful execution, and facilitating parallel execution across multiple Virtual Machines (VMs) as an integral aspect of their approach.


The technologies used in this transformation include Java-Selenium, RestAssured, and MongoDB.


The implementation of AlgoShack’s solution resulted in significant benefits:

  • Efficient Test Execution: Automated tests led to a substantial reduction in execution time.
  • Increased Test Coverage: Integration of new test cases expanded test scenario coverage.
  • Enhanced Stability: An average pass rate facilitated early issue detection.
  • Consistent Quality: Code quality checks reduced the likelihood of defects.
  • Parallel Execution: Selenium Grid implementation accelerated test cycles.
  • Customized Reporting: Customized reports provided insights into executed tags.
  • Optimized Resource Usage: Streamlined browser usage in “only-API” test cases optimized resources.
  • Future-Proof Framework: Enhancements prepared the framework for future needs.

In conclusion, this case study demonstrates how AlgoShack’s innovative approach and the utilization of advanced technologies transformed testing, resulting in substantial efficiency gains and improved software quality. Their collaborative effort underscores their commitment to excellence and continuous improvement.

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