Directory structure

HOME

• /python_scripts
  • *.py
• /datasets
  • CSV/classification/
    • all_automated_classification.csv
      • $sh merge.sh to genarete it from each project classification.csv
    • [PROJECT_NAME]_automated_classification.csv
      • new datasets provided by Everton
  • CSV/
    • comments.csv
      • includes git comments
      • it's now unclear how we got
      • I guess git_comments.py
    • interest.ssv
      • includes all metrics to compute interst
      • the output of run.py
• /tags
  • ant_tags
  • jmeter_tags
• /revs
  • ant_tags
  • jmeter_tags
• /r_scritps

How to execute scripts

• run merge.sh to generate classification.csv
• run.py executes the following python scripts
• setting.py indluces directory information

To obtain a snapshot of each revesion for the tool "understand"

• 0. checkRevisions.py
• 1. runUND.py
• 2. extract_metrics_at_method_level.py
     • it formats data that is provided by understand
• 3. link_SATD_to_UND.py
• 4. *.r

to conduct an analysis on RQ3

1. git_comments.py

branch

• tda is a branch for tda paper
• new_dataformat is a branch for new data format
• if we want to go back to work on old data format, please checkout tag/OLD_DATA_REVISED_FOR_TDA_PAPER (94a4a840572fdce8408e0a49a53d23c5a4958bb0)