Where is your engineering team spending most of its time each sprint?

We have been using Python to analyze data in Jira. We have developed sprint metrics (we call them bucket metrics) based on Jira data as part of our engineering benchmarks application. The graphs we produce helps us during sprint retrospective meetings Note: This post is written in continuation with the other blog posts on engineering team metrics An example bucket metric In this […]

Analyze JIRA data with Python

Most of our clients (Agile software teams) use Atlassian Jira for managing tickets and sprints. Every day, we keep updating the Jira for all tasks that are being worked upon. We realized that Jira has huge project/team data logs but Jira reports were not that helpful in capturing work habits of teams. Hence, Qxf2 has ended up developing an ‘Engineering Benchmarks’ […]

ReportPortal integration with pytest and pytest markers

Problem: If QA wants to make a difference with their testing and influence decision-making, we should convey our test results clearly. Hence test reporting becomes an important part of testing.   There are several test reporting tools available and recently many AI based test reporting tools are getting popular. Integrating with these reporting tools is useful. In this post, we […]