17. When should testing be stopped?
It
depends on the risks for the system being tested. There are some criteria bases
on which you can stop testing.
Deadlines
(Testing, Release)
Test
budget has been depleted
Bug
rate fall below certain level
Test
cases completed with certain percentage passed
Alpha
or beta periods for testing ends
18. Why we use decision tables?
The
techniques of equivalence partitioning and boundary value analysis are often
applied to specific situations or inputs. However, if different combinations of
inputs result in different actions being taken, this can be more difficult to
show using equivalence partitioning and boundary value analysis, which tend to
be more focused on the user interface.
The other
two specification-based techniques, decision tables and state transition
testing are more focused on business logic or business rules. A decision table
is a good way to deal with combinations of things (e.g. inputs).
This
technique is sometimes also referred to as a 'cause-effect' table. The reason
for this is that there is an associated logic diagramming technique called
'cause-effect graphing' which was sometimes used to help derive the decision
table.
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