In my previous blog post, we’ve seen how we can identify files that change together in one commit.
In this blog post, we take the analysis to an advanced level…
In his book Software Design X-Ray, Adam Tornhill shows a nice metric to find out if some parts of your code are coupled regarding their conjoint changes: Temporal Coupling.
In this and the next blog posts, I’m playing around with Adam’s ideas (and more) to find hidden dependencies of code parts based on version control data…
When you come across my blog, you may be thinking “What is this guy doing”? There are some weird analyses that have somehow to do with software development. But why all this?
Here are some queries that I use regulary at meetups and conferences for showing some features of jQAssistant and Neo4j.
Here is a short video that demonstrates how you can get some insights from the history of a Git repository using Jupyter Notebook, Python, pandas and matplotlib: We take a look at exporting the necessary data reading in the dataset