ReportPortal.io - How to make Machine Learning analyze test results
summary
ReportPortal provides a centralized storage for automated test results (including screenshots and binary data) across distributed environments and multiple platforms. It offers real-time test run viewing, failure categorization, bug posting and run history, and applies machine learning to recognize failure patterns from past runs to automatically analyze new failures.
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chapters (9)
- 0:00Introduction
- 4:07Machine learning basics
- 10:14Training data problems
- 16:59Text vectorization and TF-IDF
- 22:43ML in ReportPortal
- 29:23Defect clustering and classification
- 35:07ML integration
- 40:11Open development
- 41:34Q&A
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