Parameter Estimation for the Compound Poisson Software Reliability Model
Software Reliability has to do with the probability of finding failures in the operation of given software during a period of time. Failures are a consequence of faults introduced in the code. The interest in Software Reliability models has increased since the software component became an important issue in many Engineering projects. The parameter estimation for the Compound Poisson Software Reliability Model is analyzed. The biased characteristic is considered in order to get better performance. A comparison with the well known Non Homogeneous Software Reliability Models is presented. Several experimental data are used in order to analyze the goodness of fit of both models.