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SoftwareReleaseDataAnalysis

Data Analysis of Open Source Software libraries

Software release Machine learning model using XGboost

  • The model is binary Classifier model which predicts if a give software release will be a high Risk(i.e more bugs) or less risk(less bugs)
  • The machine learning model can help release managers and project managers plan their software releases much better based on the resources available.
  • Use the sample data provided as part of the repository as a starting point to generate more data use this repo https://github.com/AnoojNair/ExportReleaseData

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Data Analysis of Open Source Software libraries

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