TestBeats — Supercharge Your Test Results with AI-Driven Insights

Anudeep
2 min readSep 22, 2024

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Automation testing is the backbone of any robust CI/CD pipeline, but the flood of test results can quickly become overwhelming. Identifying patterns, understanding recurring issues, and keeping track of test failures can consume valuable time and resources.

TestBeats — a tool designed to transform the way we handle automation test results by integrating AI-powered insights directly into your communication channels.

TestBeats — Report to Slack, MS Teams or Google Chat

AI-Powered Failure Summary

TestBeats enhances your workflow by providing an AI-Powered Failure Summary — a short, precise summary that captures all the key points from your test failures. Instead of wading through pages of detailed test results, you get a clear snapshot of what’s happening with your tests.

TestBeats Report with AI Failure Summary

Smart Analysis of Test Failures

TestBeats goes beyond simple test result aggregation by offering a Smart Analysis feature that categorizes and summarizes your test failures in an intuitive way. Here’s what you get:

  • Newly Failed Tests: Easily spot tests that have started failing in the latest run.
  • 🔴 Always Failing Tests: Identify tests that have been consistently failing, signaling the need for deeper investigation.
  • 🟡 Flaky Tests: Detect tests that fail intermittently, helping to distinguish between genuine issues and environmental or timing-related problems.
  • 🟢 Recovered Tests: Celebrate small victories by tracking tests that were failing but have now passed.
  • 🟥 Error Clusters: Group similar test failures together, making it easier to understand systemic issues or common problem areas.
  • 🟠 Recurring Errors: Highlight tests that are failing due to the same error across multiple runs, pointing to unresolved issues.
TestBeats Report with Smart Analysis

Top Errors

Error Clusters represent a group of tests within the same run that have encountered similar errors. This category is designed to help identify patterns in failures by clustering tests that share the same or closely related issues. By analyzing these clusters, you can quickly spot recurring problems and gain insights into potential root causes, enabling more efficient debugging and resolution.

TestBeats — Top Errors

Learn more about this open source project using below links

GitHubhttps://github.com/test-results-reporter/testbeats

Docshttps://docs.testbeats.com/

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