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AI based Self-Healing Automation with Birlasoft LynX - Improving Automated Testing for Complex Systems

AI based Self-Healing Automation with Birlasoft LynX - Improving Automated Testing for Complex Systems

        
Overview:
A leading financial services provider sought to enhance their automated testing framework to ensure continuous testing for increased business agility, reduce people dependency arising from test failures and accelerate release timelines. The company faced growing complexities in maintaining consistent, reliable regression tests across an array of heterogeneous data sources and application platforms.
 
Challenges:
  • High Maintenance Costs: The company’s testing framework relied on Selenium-based automation, which required frequent manual updates even for minor changes in the UI or backend.
  • Testing Flakiness: Frequent automated test failures from broken locators or UI changes, causing delayed releases and inefficiencies.
  • Limited Test Coverage: Testing efforts were siloed across multiple tools, leading to fragmented test coverage, particularly for UI, API, and data validation.
Solution:
Birlasoft implemented a tailored self-healing automation framework with our GenAI-powered unified automation platform Birlasoft LynX. This framework:
  • Leveraged machine learning (ML) algorithms and AI principles to automatically detect webpage changes and adjust locator properties in real-time, ensuring test scripts didn’t break with minor updates.
  • Integrated actionable controls that allowed testers to manage the updated values in the test automation codebase with just one click.
  • Provided highly responsive runs, enabling faster identification and resolution of flakiness issues during automated test runs.
  • Self-healing is invoked dynamically at runtime, requiring no pre-configuration or fallback setup.
  • Delivered through our unified test automation platform enabling seamless validation across UI, API, and data layers to ensure broader test coverage across enterprise systems.
Results:
  • Up to 35% Efficiency Gains: Automation significantly reduced manual intervention in test script maintenance, saving time and effort for the testing team.
  • 60% Reduction in QA Hours: Self-healing automation decreased the time spent on maintaining and fixing automated tests, allowing the QA team to focus on higher-value activities.
  • Enhanced Test Coverage: Automated tests now spanned multiple channels, ensuring 100% coverage for compliance and data validation across millions of records.
  • Faster Time-to-Market: The streamlined testing process helped reduce the average release time, enabling the client to deploy updates more rapidly without sacrificing quality.
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Conclusion
By implementing AI based self-healing automation with Birlasoft LynX, it enabled the client to reduce costs, improve testing efficiency, and scale their regression testing across complex systems. The GenAI powered solution provided significant business value through improved test reliability, reduced manual effort, better customer experience and faster release cycles, making it a critical tool for handling the complexities of modern software development.
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