On Tuesday 25 September 2012 12:48:46 Stephan Kulow wrote:
On 24.09.2012 20:37, Jos Poortvliet wrote:
On Friday 21 September 2012 14:43:15 Jos Poortvliet wrote:
On Friday, September 21, 2012 10:10:46 Stephan Kulow wrote:
On 20.09.2012 21:49, Rajko wrote:
On Thu, 20 Sep 2012 13:57:01 +0200
Jos Poortvliet <jos@opensuse.org> wrote:
But we don't know if that'll happen or not.
It is unlikely that fragmentation will happen :)
People with certain skills and needs exist independent of what we provide. Not providing some flavor of openSUSE that fits skills and needs means they will not become users.
I was not talking about users per se, but about contributions.
So, ask our contributors and testers? Poll? I know it's not a perfect way of knowing what will happen but something is better than nothing. J
So, Rajko brought up a very substantial argument about improving our situation with regards to testing, but that might have drowned this point: do we want to have some indication to support or contradict Coolo's statement that a 1-year cycle would mean less working on and less testing of Factory?
Until we have at least SOME idea about that, it's kind'a pointless to bring it up imho - the effect could be the opposite for all we know. I know a poll is not a perfect way of answering this question - more users is likely to lead to more testers and contributors but the poll won't tell us that, for one. But some data point would be useful imho.
How much testing of factory (milestones) do you and Rajko do and how much do you expect to do if the next release is targetting end of next year?
I only test the beta and the RC's. I don't see why that would change if there are changes to the release cycle. We might be able to do slightly better than a sample of two, btw. Say, ask all factory folks if they're willing to answer that question (we could even THINK about the questions, make them have some kind of validity). But if this is enough for you to conclude on the effect of release cycle on testing, fine with me. I guess the result will be that there is no effect (only half the sample is in, but it's a good start I'd say) so we can dump this argument. Great!
Greetings, Stephan