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Ideas for a "suspect changesets classifier"

於 2014年五月17日 由 naolivEnglish發表。

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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討論

cartinus2014年05月18日 01時42分 發表的評論

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

naoliv2014年05月18日 02時18分 發表的評論

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

Nakaner2014年05月18日 13時04分 發表的評論

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.

cartinus2014年05月18日 19時02分 發表的評論

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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