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Pair-wise Testing in Testing   
by techguru on 15 Nov 2005, 06:15     Read techguru's Blog
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Pair-wise Testing Moving From Theory to Practice  By Gretchen Henrich

Summary: We've all heard the phrase, "You can't test everything." This axiom is particularly appropriate for testing multiple combinations of options, selections, and configurations. To test all combinations in some of these instances would require millions of tests. A systematic way to reduce the number of tests is called pair-wise testing. Gretchen Henrich describes the process of integrating this technique into your test practices and offers her experiences testing multiple releases of a product using pair-wise testing. She discusses her company's migration from a textbook orthogonal array approach, to free "all-pairs" software,

 

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An Improved Test Generation Algorithm for Pair-Wise Testing

Pair-wise or two-way interaction testing requires that for a given numbers of input parameters to the system,

each possible combination of values for any pair of parameters be covered by at least one test. Empirical results

show that pair-wise testing is practical and efficient for various types of software systems [1]. The problem

of generating a minimum test set for pair-wise testing is NP-complete [3]. In this paper, we propose a test set generation strategy for pair-wise testing when all parameters can take same values. Our strategy is better than those in [3] and “AETG” [1], in terms of the number of tests.

 

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