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The controlled Markov chains (CMC) approach to software testing treats software testing as a control problem, where the software under test serves as a controlled object that is modeled as controlled Markov chain, and the software testing strategy serves as the corresponding controller.
The proposed method verifies functional requirements in a dynamic environment with constantly changing user requirements, in which the program serves as a controlled object, and the verification strategy determined by software behavioral model (SBM) serves as a controller.
The software under test serves as a controlled object, and the (optimal) testing strategy determined by the theory of controlled Markov chains serves as a controller.
A Simulink model of the nonlinear process running in real-time on a PC serves as a controlled object.
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GAPDH staining serves as a control.
The control station serves as a control terminal.
Growth on –Trp Leu plates (+His) serves as a control.
JSY1190 serves as a control for experiments with these strains.
These "resident" elephants served as a control.
A scrambled siRNA served as a control.
An uninoculated well served as a control.
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