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cli's Introduction

CLI

Estimating Uncertainty in Labeled Changes by SZZ Tools on Just-In-Time Defect Prediction

1.Environment Setup

The code is tested with Python 3.6 ,Sklearn 0.24.1 and cleanlab

  • Python -v : 3.6
  • Sklearn -v : 0.24.1
  • cleanlab

2.Train

  • experiment 1: CL4.pyCL4-LR.pyCL4-NN.py
  • experiment 2: CL4.pybaseline1.pybaseline2.py
  • experiment 3: CL1.pyCL2.pyCL3.pyCL4.py
  • experiment 4: run EXP_3.py

3.Result

ALL the results are in res

4.Dataset

ALL the datasets are in CLI/dataset.

  • activemq
  • camel
  • derby
  • geronimo
  • hbase
  • hcommon
  • mahout
  • openjpa
  • pig
  • tuscany

5.Contact

For any questions, please drop an email to [email protected].

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