Hi, As Moose 5.1 was released already, can we move on with unification of data collection strategies? Cheers, Uko
On 30 Apr 2015, at 16:18, Andrei Chis <chisvasileandrei@gmail.com> wrote:
Of course :) Just right now we are too busy with releasing moose 5.1 and moving development to Pharo 5. After it's done we can sync more on this.
Cheers, Andrei
On Thu, Apr 30, 2015 at 4:15 PM, Yuriy Tymchuk <yuriy.tymchuk@me.com <mailto:yuriy.tymchuk@me.com>> wrote: Ok, then an important question: is any author of a reporting tool ready to help other 2 authors to migrate to his tool?
Uko
On 30 Apr 2015, at 16:10, stepharo <stepharo@free.fr <mailto:stepharo@free.fr>> wrote:
One is also easier to improve/maintain. Stef
Le 28/4/15 14:31, Andrei Chis a écrit :
Yes, some level of unification would be nice, especially for the part about users agreeing to send usage data and persisting that setting. Also at least two general levels of details about what data is being send that tools should follow would help (full anonymous vs. include class names/method names ?). Last but not least, a single entry point for sending that data over the network would help.
How data is collected/stored will differ from tool to tool, but agreeing on the previous aspects would make it much easier to collect data.
Cheers, Andrei
On Tue, Apr 28, 2015 at 1:18 PM, Marcus Denker <marcus.denker@inria.fr <mailto:marcus.denker@inria.fr>> wrote:
On 28 Apr 2015, at 11:42, Yuriy Tymchuk <yuriy.tymchuk@me.com <mailto:yuriy.tymchuk@me.com>> wrote:
Hi guys,
from time to time we have to collect a usage data in order to improve our tools. For example Iâd like to collect data in future about how do you treat code critics: do they occur, do you outfox them, do you mark them as false positives? If we had answers to these questions, we could really make good and helpful critics.
For now I know that there are 3 projects which collect data: - GTSpotter - Shoreline - DFlow (not in image by default).
Should I make 4th data collection for QualityAssistant? Or maybe we can do some unification?
I would love unification!
Itâs not only good for the researchers, but even for the user: I do not want to decide 5 times to give data to research, but I want to decide it onceâ¦
Marcus