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Re: Risk measurements


From: Christian Sciberras <uuf6429 () gmail com>
Date: Fri, 12 Feb 2010 14:37:25 +0100

Let's presume 100k was spent on risk modeling, which actually is way
less then the norm, where was the gain again?
Why exactly does the flaws have to be fixed economically instead of
designing the system correctly in the first place?
And on this same argument, why spend a huge amount of time (money and
resources) *guessing flaws* rather then correct system function?

"why are you spending $250,000 extra to fix the flaw?"
Because the estimate is abviously wrong. You cannot predict the full
outcome which brings the sum from the least possible number up to
infinitum.
For instance, let's imagine a flaw in your favourite OS happens to
allow any hacker backdoor access to it, there's the possibility of it
being covered up neatly, with just paying your developers OR getting a
nice load of media hype and pay dearly with losing your customers.
Personally, I'd rather not do risk modeling at all, or at least, keep
the information within reasonable bounds rather then let it reign my
(hypotethical) company.

Kind regards,
Christian Sciberras.






On Fri, Feb 12, 2010 at 1:31 PM,  <Valdis.Kletnieks () vt edu> wrote:
On Fri, 12 Feb 2010 13:09:55 +0100, Christian Sciberras said:

There's a time for finding fancy interesting numbers and a time to get
the system going with the least flaws possible.

You don't want "the least flaws possible".  We can get very close to zero
flaws per thousand lines of code - but the result ends up costing hundreds
of dollars per line.  You want "the most economical number of flaws" - if
you get it down to 10 flaws, and the next flaw will cost you $750,000 to fix,
but you estimate your loss as $500,000 if you don't fix it and get hacked,
why are you spending $250,000 extra to fix the flaw?

Why should any entity bother with risk modeling if it is not used at all?
Here's the real question to the subject; What does risk modeling fix?

Risk modeling is what tells you the flaw will cost $500K to not fix.
And since you totally screw the pooch if you got it wrong and not fixing
it costs $1M, people like to do a good job of risk modelling.


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