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Ideas for a "suspect changesets classifier"

Дасланы naoliv 17 Травень 2014 на English.

Sometimes we find here in Brazil some imported data from +4 months ago, that nobody saw until now. Usually, these imports are followed by some other changesets deleting the old data + changesets modifying/adjusting the imported data.

We also see some changesets where people purposely/unconsciously delete a lot of data.

Could a Bayesian filter, SVM or something else be used to classify a suspect changeset? Could we use something smart for this task?

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Абмеркаванне

Камэнтар cartinus ад 18 Травень 2014 у 01:42

When using WhoDidIt you can see which changesets contain lots of deletions.

Камэнтар naoliv ад 18 Травень 2014 у 02:18

The problem is that I can’t manually verify every changeset (and that’s why I am wanting some kind of classifier).

Камэнтар Nakaner ад 18 Травень 2014 у 13:04

The German user Oli-Wan (a very active German forum member) developes a tool to detect vandalisms and other bad changesets. He has written about his idea/work in German forum. You may contact him in e.g. in German or English.

Камэнтар cartinus ад 18 Травень 2014 у 19:02

That is why I mentioned WhoDidIt. Changesets with lots of deletions are specially marked. So you won’t have to check them all.

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