J.W. Cangussu (USA)
Software test process, state variable model, statistical process control, feedback control.
Statistical Process Control (SPC) and its variations have shown to be a powerful technique to predict unstable and incapable processes. However, SPC lacks the ability to quantify the necessary changes to correct deviations in the process when incapability is detected. On the other hand, a technique based on control theory has shown to be ad equate to quantify changes in the test process in order to make the process converge to the desired behavior. These two approaches appear to complement each other to bet ter monitor and control the software test process. A com bination of these approaches is presented here along with simulation results demonstrating its applicability.
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