Working In The Code Mines: Mining Software Repositories With PyDriller - Episode 277

Summary

A large portion of the software industry has standardized on Git as the version control sytem of choice. But have you thought about all of the information that you are generating with your branches, commits, and code changes? Davide Spadini created the PyDriller framework to simplify the work of mining software repositories to perform research on the technical and social aspects of software engineering. In this episode he shares some of the insights that you can gain by exploring the history of your code, the complexities of building a framework to interact with Git, and some of the interesting ways that PyDriller can be used to inform your own development practices.

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Announcements

  • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
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  • You listen to this show to learn and stay up to date with the ways that Python is being used, including the latest in machine learning and data analysis. For more opportunities to stay up to date, gain new skills, and learn from your peers there are a growing number of virtual events that you can attend from the comfort and safety of your home. Go to pythonpodcast.com/conferences to check out the upcoming events being offered by our partners and get registered today!
  • Your host as usual is Tobias Macey and today I’m interviewing Davide Spadini about PyDriller, a framework for mining software repositories

Interview

  • Introductions
  • How did you get introduced to Python?
  • Can you start by describing what PyDriller is and how the project got started?
    • How is Pydriller different from other Git frameworks?
  • What kinds of information can you discover by mining a software repository?
    • Where and how might the collected information be used?
  • What are the limitations of the capabilities offered by Git for investigating the repository?
  • What are the additional metrics that you are able to extract using PyDriller?
  • Can you describe how PyDriller itself is implemented?
    • How has the project evolved since you first began working on it?
  • I noticed that for testing PyDriller you crafted a set of repositories to serve as test cases. What has been the most complex or challenging aspect of writing meaningful tests to ensure a reasonable coverage of this problem domain?
  • What would be required to add support for other version control systems?
  • How have you used PyDriller in your own research?
  • What are some of the most interesting, unexpected, or innovative ways that you have seen PyDriller used?
  • What are some of the most interesting, unexpected, or challenging lessons that you have learned while working on and with PyDriller?
  • What do you have planned for the future of PyDriller?

Keep In Touch

Picks

Closing Announcements

  • Thank you for listening! Don’t forget to check out our other show, the Data Engineering Podcast for the latest on modern data management.
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Links

The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

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