LambdaTest’s new AI-powered analytics tools give QA teams deeper insights, faster issue resolution, and improved software quality and performance
LambdaTest , a leading cloud-based unified testing platform, announces the launch of its innovative analytics capabilities that enable QA teams to gain deeper insights and greater control over test automation. The new features leverage artificial intelligence and machine learning to optimize software quality and performance.
“We are excited to bring these cutting-edge analytics tools to our platform,” said Mayank Bhola , Co-Founder and Chief Product Officer at LambdaTest. “ Our goal is to empower QA teams with the insights to quickly identify and resolve issues, ensuring higher software quality and improved performance. These features will revolutionize the way our users approach test automation.”
Key features include:
AI Copilot Dashboard simplifies data analysis by allowing users to easily interact with data using natural language queries and receive actionable insights. It delivers predictive analytics and intelligent recommendations, helping teams make data-driven decisions efficiently.
AI-powered Flaky Test Analytics shares valuable insights into test suite behavior, enabling teams to reduce test execution time and significantly improve software quality by decreasing release cycle time. By identifying and prioritizing flaky tests based on their impact, teams can optimize debugging efforts, speed up testing cycles, and increase test reliability.
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LambdaTest’s Command Logs Analytics provides detailed insights into test execution, enabling QA teams to identify issues and optimize test scripts without stale elements. By analyzing command-level data, users can identify performance bottlenecks, effectively troubleshoot test failures, and proactively address potential issues for each session execution.
Test Case Insights makes it easy to analyze test automation execution in LambdaTest at every step of the test session. These insights help in analyzing the health of test cases, showing success versus failure rates and analyzing test cases by group to identify frequently failing tests.
Allure Test Insights with HyperExecute provides time-series analysis of test execution results using Allure reports. Users can track test status, duration, and suite details, assess suite health, analyze test status relationships, and evaluate average test durations of test suites with multiple custom filter options.
These features are available globally to all LambdaTest users, address common test automation challenges, and provide detailed insights into test cases and execution trends.
Source: PRNewswire