Release Notes

AI Based Prediction:

• Import data from majorly used Defect Management Tools like JIRA, ALM, Bugzilla etc.
• AI Based Data processing to predict Risk factor for individual Module/Component(s) version wise.
• AI Based Data processing to predict defect range for individual Module/Component(s) version wise.

Bits of Wisdom:

• Gives completely insights which are more precise and shows more informational graphs.

Automation Analytics:

• Added support for .NET based Spec framework

Miscellaneous:

• Performance Improvements.
• Enhanced User interface.

Details

• Exponential increase in performance for automation file upload.
• Admins now have the flexibility to categorize errors into error groups based on error type. All the existing and future errors will be auto grouped based on these settings.
• Admins now have the ability to create their custom error groups and categorize errors into them.
• Added ability to categorize errors at Global or Project level.
• Execution trend dashboard can now be generated based on Builds.

Details

• Added dashboard for Most Failed Test Scenarios.
• Added ability to filter dashboard based on custom dates.
• Added support for Cucumber, TestNG, Junit, QAF, HP/UFT frameworks.
• Added ability to categorize error into buckets using AI.
• Added Top Errors dashboard affecting most scenarios, along with error occurrence.