Hello,

I just created some visualizations (Marcus's idea) using DistributionMap with SmallLint rules to check how distributed are the lint problems in a class. I enclosed some figures with the distribution for some packages of Moose.
So, the small boxes represent methods. The red color is a method with more than 3 lint problems, the orange 2 problems, green 1 problem and white no problem.
We can clearly see a lot of "lint problems" in Famix package. Of course, we have some false-positives mainly for Glamour and Mondrian as we can check in [1].

Btw, I also created a job in Hudson to generate a simple report with smallLint rules in Moose (and Pharo):
Job: https://pharo-ic.lille.inria.fr/hudson/view/LintReport/job/LintReportMoose
Report: https://pharo-ic.lille.inria.fr/hudson/view/LintReport/job/LintReportMoose/lastSuccessfulBuild/artifact/Moose-WithLint/AllPackages-Simple.xml

regards,

[1] Lukas Renggli, Stéphane Ducasse, Tudor Gîrba and Oscar Nierstrasz, “Domain-Specific Program Checking,” Proceedings of the 48th International Conference on Objects, Models, Components and Patterns (TOOLS’10)

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Andre Hora