Testing Dynamic Web Applications With Usage Models
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.