Domain Testing: Divide and Conquer - Testing Education

Jorgensen (2002) also asserted that this kind of testing is useful when
variables are known to heavily interact with each other. However, this has similar
shortcomings as with boundary value analysis when there are dependent variables
involved.
Beizer (1995) contended that extreme points combination testing might not
be an effective test case generation technique. This is because the number of
combinations increases exponentially with the number of input variables and when
there are dependent variables involved, a large number of the tests that are
generated might be meaningless. For example, certain combinations might be
impossible due to certain dependency relationships among the input variables.
2.02.04 Which Test Case Selection Method Should We Use?
This thesis research has concluded that risk-based strategy is the best strategy,
especially where cost and effective failure detection are concerned. Random testing
might be used as a supplement and might be valuable in high-volume automated
test case execution. High-volume automated random testing would be inexpensive
since it is automated, and having hundreds or thousands of random test cases might
help in finding any bugs that were not revealed by the risk-based strategy.
In conclusion, risk-based selection of test cases is something that definitely
needs to be done, but high-volume random test selection might be done in addition
if time and resources permit, especially for regression testing. Kaner et al. (2002)
have described regression testing as follows:
Regression testing involves reuse of the same tests, so you can retest (with
these) after change. There are three kinds of regression testing. You do bug
fix regression after reporting a bug and hearing later on that it’s fixed. The
goal is to prove that the fix is no good. The goal of old bugs regression is to
prove that a change to the software has caused an old bug fix to become
unfixed. Side-effect regression, also called stability regression, involves
retesting of substantial parts of the product. The goal is to prove that the
32