Testing Dynamic Web Applications With Usage Models

Kirk Sayre, The University of Tennessee

Markov chain usage models provide significant automation capabilities, including test case generation, test execution, and result analysis. Kirk Sayre presents a real-world case study describing how Markov chain testing techniques were applied to the testing of dynamic Web applications. Learn how Markov chain models are used to generate random and non-random test and provide you with reliability and risk estimation information. Use this technique for load and performance testing, system testing, and acceptance testing.

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