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noahgift
Product of Pragmatic AI Labs: Machine Learning, Statistics and Utilities around Developer Productivity, Company Productivity and Project Productivity
Look into doing something like: clonedigger and/or Rabin-Karb.
Occasionally a very weird author name blows things up. For now I am throwing this away, but it is better to figure out to handle it, and store the weird...
A few different ideas are: - Word cloud? (even though they are over used) - frequency counts of words - Associate affinity of words to bugs?
It would be useful to predict bad code, just like lint does, but using machine learning.
Create a report on the metadata around deleted files in a repository. For example, some interesting questions could be: Who creates the most files that are deleted? Who deletes the...
Since relative churn is a good indicator of defects, it may be possible to predict files that will eventually be deleted because they are so full of defects.