antoniol/analyse_project_python
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Giuliano Antoniol 251fad494c test
2022-12-23 16:33:23 -05:00
.idea extraction code and results added 2022-03-18 16:03:28 -04:00
code test 2022-12-23 16:33:23 -05:00
data just to trace 2022-04-08 17:54:39 -04:00
extraction baseline 2022-04-08 17:56:03 -04:00
resultat last modifications 2022-01-25 17:14:47 -05:00
test cleanup 2022-02-02 08:55:17 -05:00
README.md read me file updated 2022-01-27 18:16:23 -05:00

README.md

In this analysis we try to extract the different structures:

done

  • lambda

  • listComp

  • => first result in file result_100commit.csv

in progress

  • filter
  • map
  • reduce

in all python files.

the projects selected must follow this characteristics:

  1. they have some python file (python notebook is a no go alias ipnb)
  2. they have 100 or more commits
  3. they have issue tracker with 100 or more issues
  4. they have a commit in the last year

format of commit files file info.csv: columns: hash,date,commit_message,number file added, number file deleted, number modified file, churn churn: json file containing for each file the number of total code churn for each file - negative number means removed - positive number means added