We have developed a time view of statuses metrics based on Jira data as part of our engineering benchmarks application Note: This post is written in continuation with the other blog on the engineering metrics. What is time view of statuses metrics? It is the time view graph that shows how many tickets were present in a given set of statuses for each […]
Time analysis of Jira statuses using Python
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 […]
Sample Solid application on Python Flask
Recently, we stumbled upon Inrupt’s Solid and after going through their fundamental documentation, we became keen on building a sample solid application and get a better understanding of it. All of Solid’s examples are built on JQuery and NodeJS. We like Python and so we wanted to build some Python-based examples. This post will focus on how to use Python […]
How do you know if you have collaborative agile team?
We have developed team collaboration metrics based on the comment history of Jira tickets. It helps us identify people who are not collaborating well on Jira. It also helps us spot imbalances in teams (e.g.: person X is talking ONLY to person Y, or that person Z is really working well with everyone!). Note: This post is written in continuation with […]
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’ […]
Invoking AWS lambda functions from a Flask app
We have been hearing about serverless service for a while now. So what is serverless? ‘serverless’ means that you run a service without a server. In most cases, if you run a mobile app or an online web app, there are always some tasks to execute in the backend. For eg:- In a weather application, every time when the user […]