This is an interesting topic in testing related to testing of a feature that is influenced bt multiple variables. Here is one blog post from Apoorva Joshi - which is like single reference that points out to several others notable one - each two Famous Michael's in testing community - Michael Hunter of microsoft and Michael Bolton.
http://criticsden.blogspot.com/2005/02/pairwise-testing.html
Right now, I am too anxious to make this post so that I can comeback later with my comments ...
Here are my quick questions about Pairwise testing
1. Why pair is imporatant? What about triplets or 4 variables at a time?
2. How is concept of "Orthogonal" or "Taguchi Arrays" related to Pairwise testing
I will study and come back on this ... Meanwhile enjoy reading above thread ...
Shrini
1 comment:
My brother has developed what I believe is an excellent web based tool to improve pairwise test plan generation. This builds on the work my father, William Hunter, did with factorial design of experiments.
His tool does allow for multiple variables at a time. My understanding on pairwise being predominate is that without using factorial design tools even doing pairwise testing is so difficult (so many tests to run) that doing more is beyond the capacity of many organizations. But data shows interactions of more than 2 variable are important so coverage beyond pairwise is valuable.
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