This project aims to analyze the development history of the Scala programming language project on GitHub. We’ll explore various aspects such as project activity, community dynamics, and contributions of specific developers. For further details, please refer to the GitHub repository linked here.

Analyzing Scala Project History

In this project, I undertake an in-depth analysis of the development history of the Scala programming language project on GitHub. By exploring various aspects such as project activity, community dynamics, and contributions of specific developers, I aim to gain insights into the evolution of the Scala project and the dynamics of its developer community.

Dataset Overview

The dataset used in this project comprises three CSV files:

• pulls_2011-2013.csv: Contains basic information about pull requests from the end of 2011 up to (but not including) 2014.
• pulls_2014-2018.csv: Contains identical information, spanning from 2014 up to 2018.
• pull_files.csv: Contains the files modified by each pull request.

Project Tasks and Analysis

1. Importing and Cleaning Data

   • Imported the dataset using pandas.
   • Cleaned and preprocessed the data.

2. Project Activity Analysis

   • Calculated and visualized the number of pull requests submitted each month to understand the trend of project activity.

3. Community Dynamics

   • Analyzed the distribution of pull requests submitted by each user to understand the dynamics of the project community.

4. Identifying Hot Areas of Code

   • Identified the files changed in the last ten pull requests to pinpoint the active areas of the codebase.

5. Evaluating Community Camaraderie

   • Plotted a histogram of the number of pull requests submitted by each user to assess the camaraderie within the project.

6. Investigating Recent Changes

   • Identified the files changed in the last ten pull requests to understand recent code changes.

7. Identifying Top Developers

   • Identified the top 3 developers who submitted pull requests to a specific file, indicating their expertise in that area.

8. Analyzing Recent Contributors

   • Identified the users who submitted the last ten pull requests to a specific file to understand recent contributors.

9. Understanding Developer Contributions Over Time

   • Plotted the number of pull requests submitted by two developers over time to understand their contribution trends.

10. Analyzing Developer Contributions to Specific Files

    • Analyzed the number of pull requests submitted by developers to a specific file each year to understand their expertise in that file.

Conclusion

This project provides valuable insights into the development history and community dynamics of the Scala programming language project on GitHub. By analyzing project activity, community engagement, and individual contributions, we gain a deeper understanding of the project’s evolution and identify key areas of expertise among contributors.

Author

• LinkedIn: Mohammed Mebarek Mecheter
• Email: mohammedmecheter@gmail.com
• GitHub: Mohammed Mebarek Mecheter

Feel free to contact me for any questions or additional information about this project.