Machine Learning usage for test fail categorization

Session type: 45 min talk

Session level: Intermediate

Every project spent time to implement own reporting, and it's especially essential for test automation at large scale, with number of distributed environments and parallel executions.

This talks describes kNN algorithm of Machine Learning, within open sourced tool ReportPortal.

It recognizes fails will on fail patters, collected from historical data of execution.

This is the place, where Machine Learning show all power.

Having all these ReportPortal is an integral part of your development pipeline and can address growing complexity of test automation. And give feedback on risks associated with your build rapidly as possible, helping to reach continuous testing flow.

Key take-aways:

  • Machine Learning basics
  • kNN algorithm explanation
  • open source tools for test automation reporting
  • ReportPortal usage

11 years in IT. Delivery Manager.

Development background. Leading initiatives development in Test Competency Center.