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Abstract
Testing software in different possible combinations
is a huge task involving a lot of time and effort. The
level of complexity involved is very high while designing
test cases for a product involving quite a lot of external
factors and combinations. Tools like Orthogonal Arrays
(OA) and ideas from the Design of Experiments (DOE)
can immensely improve software product testing.
Reducing test time is gaining importance as the number
of controllable variables in more complex products is
growing. With increasing product complexity, the test
time increases exponentially. Under this scenario, DOE
will help in identifying all possible combination of
test cases as well as reducing test cases. This white
paper provides some insights into the process involved
in designing test cases based on orthogonal array approach.
Author
Nithya Chandrasekaran
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