Software reliability measurement and prediction are used to evaluate model parameters in advance of applying a model. Measurement involves collecting and analyzing data about the observed reliability of software, from which the parameters are estimated, for example, the occurrence of failures during test. Prediction is using a model to forecast future software reliability, for example, time to next failure during operation. Once the parameters are estimated, using the methodology we will demonstrate, we can rank the software releases by their projected relative reliability in order to rationally allocate resources to prediction and testing activities.