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<p>Then why does the blog entry you linked to in your earlier email
say:</p>
<p><i>The last decade has seen fuzzing grow to dominate the
headlines around software reliability and testing, and provide
data for people who write evidence-based books. I don’t have
much of a feel for how widely used it is in industry, but it is
a very useful tool for reliability researchers</i>?</p>
<p>I don't understand the link to reliability<br>
</p>
<p>Martyn<br>
</p>
<div class="moz-cite-prefix">On 14/09/2020 15:36, Derek M Jones
wrote:<br>
</div>
<blockquote type="cite"
cite="mid:76e90fd1-0fa4-03fe-ed31-54b9e7ad91e7@knosof.co.uk">Martyn,
<br>
<br>
<blockquote type="cite">How do you then get from the number of
fatal defects to a reliability?
<br>
</blockquote>
<br>
You don't.
<br>
<br>
What it says on the can is an estimate of a particular kind of
<br>
failure.
<br>
<br>
<br>
<blockquote type="cite">On 14/09/2020 14:46, Derek M Jones wrote:
<br>
<blockquote type="cite">Fuzzing appears to be a practical
technique for gathering the data
<br>
needed to
<br>
estimate likely number of mistakes that will cause a system
crash.
<br>
Practical
<br>
in that a few months of cpu time is quite cheap these days.
<br>
</blockquote>
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