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"Team Ada: Ada Advocacy Issues (83 & 95)" <[log in to unmask]>
"Kester, Rush W." <[log in to unmask]>
Wed, 15 Mar 2000 16:36:48 -0500
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"Kester, Rush W." <[log in to unmask]>
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I agree that data need not be at the 99% confidence level to be useful.  I
would like to point out that data valid at the 50% confidence level is no
better than a coin toss.  Most decision makers choose a language on much
better criteria than that.  What I said was "statistically valid."  It is so
easy to "lie" with statistics, why bother using invalid data to make our

Often the decision has nothing to do with, "What language produces systems
that cost less or are more reliable?" (IMO Ada).  The language decision is
often  made based on the cost of the compiler and tools, the personal
preferences of the current staff, or the availability of trained staff in
the region.  In these cases, unfortunately, Ada looses.

Unfortunately, I have seen managers who ignore statistically valid data;
which demonstrates that Ada systems require fewer man-hours to produce
(after about the 3rd system), are more reliable, and run equally fast; and
choose C++ or Java because it's what the trade rags are pushing.

Rush Kester
charter member Team Ada

-----Original Message-----
From: Tom Moran [mailto:[log in to unmask]]
Sent: Wednesday, March 15, 2000 10:07 AM
To: [log in to unmask]
Subject: Re: Our Lack of Hard Data is a Disgrace.

>I can assure you that this is not easy.  The SEL has been collecting human
>effort data, program size data, error rates, and many other metrics for
>two decades.
>What you're left with is a situation where only many experiments over time
>can be used to arrive at statistically valid results.
  We'll take results at the 50% confidence level.  ;)
Seriously, it may take hundreds of years to get enough data to prove,
at the 99% level and without a shadow of a doubt, that X is true.  But
even knowing that X is more likely true than not, is *useful*
information.  While we wait for certainty, people *are* making
decisions that are more likely bad than good, based on their
conclusions, statistically valid at *very* low confidence, from single
circumstance anecdotes.