Five Machine Learning Usages in Software Testing


According to the Reqtest team, machine learning is a hot trend this year, bringing revolutionary changes in workflows and processes.
In software testing, machine learning can be used for:

  • Test suite optimization, to identify redundant and unique test cases.
  • Predictive analytics, to predict the key parameters of software testing processes on the basis of historical data.
  • Log analytics, to identify the tests cases which need to be executed automatically.
  • Traceability, extracting keywords from the Requirements Traceability Matrix (RTM) to achieve test coverage.
  • Defect analytics, to identify high-risk areas of the application for the prioritization of regression test cases.

Read nine more recent testing trends from the Reqtest editors.