An Optimal Resource Allocation Model Considering Two-Phase Software Reliability Growth Model with Testing Effort and Imperfect Debugging.

This study aims at investigating an optimal resource plan in order to minimize the software costs in the debugging and testing phases. We have proposed a resource allocation model to address testing efforts, imperfect debugging and change-point. We have considered two cases: In the first case, the software debugging cost is kept constant, and in this case, the optimal policy follows a bang-bang structure, which means investing entirely in the testing phase, followed by investing fully in the debugging stage. In the second case, we have taken the debugging cost in quadratic form. We have validated our model with the experimental data, and the results reveal that the presented model is reasonably accurate. We have also discussed the optimal resource allocation problems under certain conditions and examine the parameters’ behavior in the model and obtain the variations in the total cost. This study provides a detailed optimal control theory-based testing resource allocation policy, which is supported by numerical examples. [ABSTRACT FROM AUTHOR]