A state model for the Software Test Process with automated parameter identification
João W. Cangussu, Raymond A. DeCarlo, Aditya P. Mathur · 2002
A model is proposed to assist software test managers in controlling the behavior and progress of the Software Test Process (STP) by allowing them to compare predicted behavior against observed progress made at various checkpoints. The model, whose parameters are based on measured data and process characteristics, generates the predicted behavior. An algorithm for the parameter estimation is set forth. The error between the predicted and desired behavior is used to drive a parametric control algorithm that tells the manager how to correct for schedule deviations.