Answer Posted / murthysharma
Another simple defect prediction technique is to separate
defect reports into two pools. Call them Pool A and Pool B.
You then track the defects in these two pools separately.
The distinction between the two pools is arbitrary. You
could put all the defects discovered on Mondays,
Wednesdays, and weekends into Pool A, and the rest of the
defects into Pool B. Or you could split your test team down
the middle and put half of their reported defects into one
pool, half into the other. It doesn’t really matter how you
make the division as long as both reporting pools operate
independently and both test the full scope of the product.
Once you create a distinction between the two pools, you
track the number of defects reported in Pool A, the number
in Pool B, and—here’s the important part—the number of
defects that are reported in both Pool A and Pool B. The
number of unique defects reported at any given time is:
DefectsUnique = DefectsA + DefectsB - DefectsA&B
The number of total defects can then be approximated by the
simple formula:
DefectsTotal = ( DefectsA * DefectsB ) / DefectsA&B
If the GigaTron 3.0 project has 400 defects in Pool A, 350
defects in Pool B, and 150 of the defects in both pools,
the number of unique defects detected would be 400 + 350 -
150 = 600. The approximate number of total defects would be
400 * 350 / 150 = 933. This technique suggests that there
are approximately 333 defects yet to be detected (about a
third of the estimated total defects); quality assurance on
this project still has a long way to go.
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