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Quantitative analysis on the CWA code base performed using data provided by Git

Open EnricoPicci opened this issue 4 years ago • 0 comments

Dear all, In the last weeks I have conducted some analysis on some CWA repos (cwa-server, cwa-app-ios, cwa-app-android). The objective has been to test if it is possible to have a quantitative, data driven approach to the analysis of a large code base. The data used come from the logs produced by git, which hold the “temporal”, the “ownership” and the “size” dimensions of change (when a change occurred, who made it, how big the change was). The outcomes of this analysis have been summarised in this document (https://docs.google.com/document/d/1Y5TQOLkMwoYu0bX8S7q818koFzUxj54Bto5fdDYJVmo/edit). Considering that I have tried to apply this approach to a codebase which you know very well, I would appreciate a lot if you could provide some feedback about the ideas exposed there. Thanks in advance

PS: I hope this is the right place for a request like this

EnricoPicci avatar Oct 04 '21 17:10 EnricoPicci

For sure an interesting topic, but IMHO not really relevant for this project.

duplicates:

  • https://github.com/corona-warn-app/cwa-app-android/issues/4170
  • https://github.com/corona-warn-app/cwa-app-ios/issues/3642

hilmarf avatar Sep 08 '22 07:09 hilmarf