In this blog post, I want to show you a nice complexity metric that works for most major programming languages that we use for our software systems – the indentation-based complexity metric.
Calculating Indentation-based Complexity
Mini-Tutorial Git Log Analysis with Python and Pandas
This notebook is a simple mini-tutorial to introduce you to basic functions of Jupyter, Python, Pandas and matplotlib with the aim of analyzing software data. Therefore, the example is chosen in such a way that we come across the typical methods in a data analysis.
Mini-Tutorial: Git-Log-Analyse mit Python und Pandas (German)
Dieses Notebook ist ein einfach gehaltenes Mini-Tutorial zur Vorstellung grundlegender Funktionen von Jupyter, Python, Pandas und matplotlib, um ein Gefühl für die Analyse von Softwaredaten mit diesen Bibliotheken zu bekommen. Daher ist das gewählte Beispiel so gewählt, dass wir typische Aufgaben während einer Datenanalyse bearbeiten…
SWOT analysis for spotting worthless code
In this short blog post, I want to show you an idea where you take some very detailed datasets from a software project and transform it into a representation where management can reason about…
Identifying lost knowledge in the Linux kernel source code
Knowing all about the software system we are developing is valuable, but too often a rare situation we are facing today. In times of software development experts shortages and stressful software projects, high turnover in teams leads quickly to lost knowledge about the source code…
Visualizing and Clustering of the Structural Similarities of Test Cases
In this blog post, I show how we can partly automate the process of identifying groups of similar test cases as well as how we can visualize those groups. The aim is to find test cases that test the same production code but shouldn’t do it…
Calculating the Structural Similarity of Test Cases
In this data analysis … we want to spot test cases that are structurally very similar and thus can be seen as duplicate. We’ll calculate the similarity between tests based on their invocations of production code…
Finding tested code with jQAssistant
Introduction This blog is a three-part series. See part 2 for calculation of test similarity and part 3 (upcoming) for visualization. In an upcoming analysis, we want to calculate the structural similarity between test cases. For this, we need the
My talk at JavaLand 2018
Today, I presented my talk “Identifying problems in software development with data analysis” at JavaLand. Here you’ll find the slides, the demos, additional information and my answers to the questions asked online. Talk You can find the slides to my
Some resources for the Software Analytics curious
I’ve started digging into data analysis in software development back in 2014. During that time, I was working on my master thesis…