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Yes of course there are examples that defy consistent evaluation by any given metric, and I thought we were in agreement that their misuse was dreadful, but you seem deaf to the idea that metrics are just clues, the answers lie in the code itself, and that without metrics there is nothing short of domain knowledge and production feedback that can help to distinguish one blob of code from from millions of others.

And just how much effort do you think it takes to run some code through a metric-gathering program?

 


In reply to Re^8: Cyclomatic Complexity of Perl code by EdwardG
in thread Cyclomatic Complexity of Perl code by ryanus

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    [choroba]: The problem was bigger, as the test tried to call a method that didn't exist anymore
    [marinersk]: :: ducking ::
    [choroba]: because, someone renamed the method, but didn't notice it was used in the test, as the test was skipped
    [marinersk]: Well, if the method doesn't exist, it would be hard to pass the test.
    [choroba]: later, someone removed the new method, as all its usage places were safe, but didn't notice the test still used the old name
    [choroba]: fortunately, it wasn't that hard to replace the method and fix a few remaining failures due to the changes we did to the codebase over the years
    [marinersk]: choroba Sounds like a process improvement opportunity; tests may not all need to be run, but they should all be compiled with perl -c before check-in/promotion happens.
    [choroba]: so, now I have the test, so I can start making changes in the code. Back to the original ticket, yay!
    [marinersk]: I definitely love it when my $current_taask=& taskPop(); if ($current_task eq $original_task) { } is true.
    [marinersk]: s/taask/task/g;

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