Analyzing System Test Results Using AI/ML Methods

Project Mentor:  Linquing Lu

Project Location:  UMass Lowell

Testing organizations generate large amounts of results stored in many different formats such as log files.  Identifying patterns in the logs as known issues helps analysts find new issues more quickly.  This project will develop and apply appropriate ML models to an existing large data set of testing results to search out new issues and improve  the results presented to quality engineers for further analysis.

Heidi Dempsey

Team:
Location: Boston and Westford
Boston Metro RIG