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Vortrag “Data Science meets Software Data”

Vortrag “Data Science meets Software Data”

Am Jubiläums-Event von INNOQ durfte ich einen Vortrag über eines meiner Lieblingsthemen halten: Die Anwendung von Data-Science-Werkzeugen auf Daten aus der Softwareentwicklung.

Markus January 15, 2020January 15, 2020 German, Software Analytics No Comments Read more

Checking Architecture Governance with jQAssistant, Neo4j and Jupyter

Checking Architecture Governance with jQAssistant, Neo4j and Jupyter

Introduction Software architects have to make sure that the communicated software architecture blueprints exist in the real world. For this, manual inspections as well as automated measurements are needed to avoid surprises. In this notebook, I want to show how

Markus October 17, 2019October 18, 2019 Architecture, Software Analytics No Comments Read more

Effective interactive data visualization with pandas and pygal

Effective interactive data visualization with pandas and pygal

I wrote a Jupyter notebook that demonstrates how you can easily use pandas together with pygal. Because it won’t work here on my blogging system, you have to read about it on GitHub: Jupyter notebook HTML export (fully interactive version)

Hauptadministrator March 14, 2019 Software Analytics No Comments Read more

Video: No-Go Areas in the Linux Kernel

Video: No-Go Areas in the Linux Kernel

Here is a short demo that I show regularly in my talks about Software Analytics. It shows how you can identify components in your code that are so old that probably nobody knows anything about it anymore.

Markus October 31, 2018 Software Analytics, Video No Comments Read more

Race Condition Demo Notebook

Race Condition Demo Notebook

In my talks, I’m using a short example that illustrates how the mechanics of my notebook-driven approach for analyzing software systems works. Here you can now find another example on my blog, too…

Markus September 28, 2018September 28, 2018 Software Analytics 1 Comment Read more
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