[Tutor] Efficiency of Doxygen on Python vs C++?
spmcinerney at hotmail.com
Fri Aug 17 05:01:17 CEST 2007
Yes but it's still a canonical question about analysis of weakly-typed
dynamic languages, since my Java friend makes separate comments
about scalability when analyzing large builds - he claims 1-5m lines of
code is a threshold.
>From: Kent Johnson <kent37 at tds.net>
>To: Kevin Cameron <dkc at grfx.com>
>CC: tutor at python.org
>Subject: Re: [Tutor] Efficiency of Doxygen on Python vs C++?
>Date: Thu, 16 Aug 2007 22:06:13 -0400
>Kevin Cameron wrote:
> > Stephen McInerney wrote:
> >> My friend said the runtime efficiency of Doxygen on his build was much
> >> worse on the Python code than the C++ code, i.e. it took ages to parse
> >> the Python code.
> > It's not the efficiency of doxygen that's the question. The problem is
> > that you can add fields to objects as you go in Python so you need to do
> > a deep analysis of the code to determine the class structure which you
> > don't have to do with C++ (or Java).
>So doxygen is actually doing this deep analysis?
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