Problem:

Current state of ReportPortal requires uploaded failures to be pre-classified to decrease overall time required for analysis.

Goal:

To implement TFAC for failure classification. Test Failure Analysis Classifier(TFAC) is an AI/ML predictioner developed by Red Hat D&O Data Science Team which can predict the test's catalog. Currently it supports AutomationBug, ProductBug, SystemBug classification on Report Portal.

Why is it important?

Use cases:

1. <case>

Acceptance criteria:

1. <criteria>

Dependencies (External/Internal):

Design Artifacts:

Exploration:

Note: