Finally, I had the opportunity to dig into my existing material about data-driven software analysis and created a workshop with two days full of content and exercises. Join me if you want to learn how you can use tools and techniques from data science and graph analysis to analyze your specific challenges in software development in a data-driven way!
In this blog post, I present an idea for remote workshops, which make strong, interactive use of Jupyter Notebooks to teach content: let’s call it for now “discreet assistance”.
I tried to create a little guide / cheat sheet that could support you during your own first experiments with Software Analytics.
I’ve started to gather some valuable information about Software Analytics in an awesome list. I hope to get more people interested in this fascinating topic. The resources should be as applicable in practice as possible.
Last Saturday, I got some bone conduction headphones. Knowing that some housework is coming up, I wanted to use that time “productively” and listen to some good audiobooks. I also read Simon Wardley’s book awhile ago, but wanted to go over it again just for fun, but never found time lately. So what why not LISTEN to Simons’s book?