AI Helps Me! I Have a Lot of Tests to Analyze
summary
Examines automated analysis of large volumes of test results using ReportPortal and machine learning to cluster or predict related failures across different test types. Covers parsing and collecting execution data, using past runs and metrics to infer similarities between error types, and presenting that information to validate connections and monitor test evolution.
AI-written summary · about
chapters (5)
- 0:00Introduction
- 3:56Report Portal tool
- 11:46Setup and execution
- 17:02AI categorization
- 19:33Best practices and closing
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