But in this case you've got a square law in play (i.e. N^2 edges for N
components). So the Pareto distribution becomes 96%-4%.


On Fri, Apr 19, 2013 at 1:45 AM, Casey Ransberger
<[email protected]>wrote:

> WRT the 90% guess, I usually go for 80% on stuff like that when I make a
> SWAG where it smells like a Pareto distribution.
>
> http://en.wikipedia.org/wiki/Pareto_principle
>
> http://en.wikipedia.org/wiki/Pareto_distribution
>
>
>
> On Tue, Apr 16, 2013 at 7:52 PM, David Barbour <[email protected]>wrote:
>
>>
>> On Tue, Apr 16, 2013 at 2:25 PM, Steve Wart <[email protected]> wrote:
>>
>>> > On Sun, Apr 14, 2013 at 1:44 PM, Gath-Gealaich
>>> > In real systems, 90% of code (conservatively) is glue code.
>>>
>>> What is the origin of this claim?
>>>
>>
>> I claimed it from observation and experience. But I'm sure there are
>> other people who have claimed it, too. Do you doubt its veracity?
>>
>>
>>>
>>>
>>> On Mon, Apr 15, 2013 at 12:15 PM, David Barbour <[email protected]>wrote:
>>>
>>>>
>>>> On Mon, Apr 15, 2013 at 11:57 AM, David Barbour <[email protected]>wrote:
>>>>
>>>>>
>>>>> On Mon, Apr 15, 2013 at 10:40 AM, Loup Vaillant-David <
>>>>> [email protected]> wrote:
>>>>>
>>>>>> On Sun, Apr 14, 2013 at 04:17:48PM -0700, David Barbour wrote:
>>>>>> > On Sun, Apr 14, 2013 at 1:44 PM, Gath-Gealaich
>>>>>> > In real systems, 90% of code (conservatively) is glue code.
>>>>>>
>>>>>> Does this *have* to be the case?  Real systems also use C++ (or
>>>>>> Java).  Better languages may require less glue, (even if they require
>>>>>> just as much core logic).
>>>>>>
>>>>>
>>>>> Yes.
>>>>>
>>>>> The prevalence of glue code is a natural consequence of combinatorial
>>>>> effects. E.g. there are many ways to partition and summarize properties
>>>>> into data-structures. Unless we uniformly make the same decisions - and we
>>>>> won't (due to context-dependent variations in convenience or performance) 
>>>>> -
>>>>> then we will eventually have many heterogeneous data models. Similarly can
>>>>> be said of event models.
>>>>>
>>>>> We can't avoid this problem. At best, we can delay it a little.
>>>>>
>>>>
>>>> I should clarify: a potential answer to the glue-code issue is to
>>>> *infer* much more of it, i.e. auto-wiring, constraint models, searches. We
>>>> could automatically build pipelines that convert one type to another, given
>>>> smaller steps (though this does risk aggregate lossiness due to
>>>> intermediate summaries or subtle incompatibilities).  Machine-learning
>>>> could be leveraged to find correspondences between structures, perhaps
>>>> aiding humans. 90% or more of code will be glue-code, but it doesn't all
>>>> need to be hand-written. I am certainly pursuing such techniques in my
>>>> current language development.
>>>>
>>>>
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>>>>
>>>
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>
>
> --
> Casey Ransberger
>
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