I wrote a blog post about Defect Analysis, a analysis technique to get insights into how buggy your system might be.
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.