Hi,
I have but they are commercial.
The idea is that if you want to increase quality you first have to define what that is :).
You need a stakeholder that can tell you what is important and what is not. Otherwise, you
only measure things that you think are important, and which usually turn out to not be
important in reality.
All in all, it's not just the code that you need, but also the one that can define the
problems that should be solved.
Cheers,
Doru
On 14 Jul 2011, at 15:12, Alexandre Bergel wrote:
Is there a case study where moose helped increasing
it's quality, and not only identifying anomalies?
I have some case studies, but in smalltalk only
Alexandre
Le 14 juil. 2011 à 13:02, Stéphane Ducasse <stephane.ducasse(a)inria.fr> a écrit :
Hi guys
I would like your input and (also help) for the following.
I would like to have a web servers with some selected case studies for a show room on
internet
We should have it for December. Now I think that we should join forces.
I think that we could take
We take one or two projects:
ArgoUML
Papyrus
Seaside
We could have an apache rewrite rule to dispatch to the right image
We create two specific images that contain models
for argoUML multiple versions
for papyrus a model with a limited amount of entities
for Moose itself/seaside so that we get testcoverage....
Then we propose different analysis
- metrics
- polymetric views
- eyeScope
- cycle identification
- distribution map (may of commits or something)
- evolution hierarchy (cf the paper of girba on using Hismo)
- reports
Usman this should correspond to your ideas of scenario.
So let me know what you think. It would be beneficial for the complete community so we
need help.
Stef
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