software-analytics/notebooks at master · feststelltaste/software-analytics

notebooks: Jupyter notebooks with mostly Python Pandas analysis
- Pandas & jQAssistant: How to integrated Python Pandas with jQAssistant / Neo4j
- Committer Distribution: Who contributes to a software project how often?

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README.md

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Name		Name	Last commit message	Last commit date
parent directory ..
data/spring-petclinic		data/spring-petclinic
datasets		datasets
input		input
lib		lib
resources		resources
scripts		scripts
vis		vis
A graph(ical) approach towards Bounded Contexts.ipynb		A graph(ical) approach towards Bounded Contexts.ipynb
AI Productivity Gains in different Situations.ipynb		AI Productivity Gains in different Situations.ipynb
Abbreviation_Miner.ipynb		Abbreviation_Miner.ipynb
Architecture Governance Example.ipynb		Architecture Governance Example.ipynb
Building Higher-Level Abstractions of Source Code.ipynb		Building Higher-Level Abstractions of Source Code.ipynb
Calculating Indentation-based Complexity.ipynb		Calculating Indentation-based Complexity.ipynb
Calculating the Structural Similarity of Test Cases.ipynb		Calculating the Structural Similarity of Test Cases.ipynb
Checking the modularization based on changes (3D Version).ipynb		Checking the modularization based on changes (3D Version).ipynb
Checking the modularization of software systems by analyzing co-changing source code files.ipynb		Checking the modularization of software systems by analyzing co-changing source code files.ipynb
Code Maat Python.ipynb		Code Maat Python.ipynb
CodeCharta Pandas Enhanced Analysis.ipynb		CodeCharta Pandas Enhanced Analysis.ipynb
Committer Distribution.ipynb		Committer Distribution.ipynb
Creating a fun dataset.ipynb		Creating a fun dataset.ipynb
Defect Analysis using pandas.ipynb		Defect Analysis using pandas.ipynb
Developers' Habits (IntelliJ Edition).ipynb		Developers' Habits (IntelliJ Edition).ipynb
Developers' Habits (Linux Edition).ipynb		Developers' Habits (Linux Edition).ipynb
Effective interactive data visualization with pandas and pygal.ipynb		Effective interactive data visualization with pandas and pygal.ipynb
Fake comment correction using Tree-sitter and Large Language Models.ipynb		Fake comment correction using Tree-sitter and Large Language Models.ipynb
Fake comment detector using Gemma 3.ipynb		Fake comment detector using Gemma 3.ipynb
Finding tested code with jQAssistant.ipynb		Finding tested code with jQAssistant.ipynb
Fitness Function for Detecting Cyclic Package Dependencies.ipynb		Fitness Function for Detecting Cyclic Package Dependencies.ipynb
Fitness Function for Detecting Race Conditions.ipynb		Fitness Function for Detecting Race Conditions.ipynb
Fixing code that is actually used with Tablesaw.ipynb		Fixing code that is actually used with Tablesaw.ipynb
Generate fake data for Spring PetClinic with Pandas and Faker.ipynb		Generate fake data for Spring PetClinic with Pandas and Faker.ipynb
Generating Synthetic Data based on a Git Log.ipynb		Generating Synthetic Data based on a Git Log.ipynb
Getting Started with Python Pandas.md		Getting Started with Python Pandas.md
Grouping co-changing code - fossology.ipynb		Grouping co-changing code - fossology.ipynb
Grouping co-changing code.ipynb		Grouping co-changing code.ipynb
Identifying lost knowledge in the Linux kernel source code.ipynb		Identifying lost knowledge in the Linux kernel source code.ipynb
Impact Analysis with jQAssistant and Neo4j.ipynb		Impact Analysis with jQAssistant and Neo4j.ipynb
Indentation Complexity.ipynb		Indentation Complexity.ipynb
Java Type Dependency Analysis.ipynb		Java Type Dependency Analysis.ipynb
Joint Sources - Using Pandas as ETL tool.ipynb		Joint Sources - Using Pandas as ETL tool.ipynb
Knowledge Islands.ipynb		Knowledge Islands.ipynb
Mini-Tutorial Git Log Analyse mit Python und Pandas.ipynb		Mini-Tutorial Git Log Analyse mit Python und Pandas.ipynb
Mini-Tutorial Git Log Analysis with Python and Pandas.ipynb		Mini-Tutorial Git Log Analysis with Python and Pandas.ipynb
Mining SonarQube.ipynb		Mining SonarQube.ipynb
Mining performance HotSpots with JProfiler, jQAssistant, Neo4j and Pandas.ipynb		Mining performance HotSpots with JProfiler, jQAssistant, Neo4j and Pandas.ipynb
No-Go-Areas.ipynb		No-Go-Areas.ipynb
Production Coverage Demo Notebook.ipynb		Production Coverage Demo Notebook.ipynb
Production Coverage Demo with Tablesaw and BeakerX.ipynb		Production Coverage Demo with Tablesaw and BeakerX.ipynb
Proof of Concept - Adding comments to classes in jQAssistant.ipynb		Proof of Concept - Adding comments to classes in jQAssistant.ipynb
Quantifying the Java Development Kit.ipynb		Quantifying the Java Development Kit.ipynb
README.md		README.md
Race Condition Demo Notebook.ipynb		Race Condition Demo Notebook.ipynb
Read in semi-structured data with pandas.ipynb		Read in semi-structured data with pandas.ipynb
Read in semi-structured data.ipynb		Read in semi-structured data.ipynb
Reading a Git log file output with Pandas.ipynb		Reading a Git log file output with Pandas.ipynb
Reading a Git repo's commit history with Pandas efficiently.ipynb		Reading a Git repo's commit history with Pandas efficiently.ipynb
SWOT analysis for spotting worthless code.ipynb		SWOT analysis for spotting worthless code.ipynb
Similarity visualizations PCA AHC.ipynb		Similarity visualizations PCA AHC.ipynb
Spotting co-changing files.ipynb		Spotting co-changing files.ipynb
Spotting performance issues with vmstat.ipynb		Spotting performance issues with vmstat.ipynb
Storing Git commit information into Pandas' DataFrame.ipynb		Storing Git commit information into Pandas' DataFrame.ipynb
Structural Test Case Similarity.ipynb		Structural Test Case Similarity.ipynb
Towards Creating a Semantic Map of your Code Base (large).ipynb		Towards Creating a Semantic Map of your Code Base (large).ipynb
Towards Creating a Semantic Map of your Code Base.ipynb		Towards Creating a Semantic Map of your Code Base.ipynb
Tracking Reengineerings under the Hood.ipynb		Tracking Reengineerings under the Hood.ipynb
Travis CI Build Breaker Analysis.ipynb		Travis CI Build Breaker Analysis.ipynb
Visualize Developer Contributions with Stream Graphs.ipynb		Visualize Developer Contributions with Stream Graphs.ipynb
Visualizing Production Coverage with JaCoCo, Pandas and D3.ipynb		Visualizing Production Coverage with JaCoCo, Pandas and D3.ipynb
Visualizing and Clustering of the Structural Similarities of Test Cases.ipynb		Visualizing and Clustering of the Structural Similarities of Test Cases.ipynb
Word Cloud Computing.ipynb		Word Cloud Computing.ipynb
Word count distribution of commit messages.ipynb		Word count distribution of commit messages.ipynb
demo_pandas_jqassistant.ipynb		demo_pandas_jqassistant.ipynb

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