Bayesian Analysis for Software Reliability with Fault Detection and Correction Data

Software reliability is one of the most significant attributes in various safety-critical systems. One popular approach to estimate the software reliability is based on Bayesian statistics. However, there are few attempts on Bayesian approaches considering fault correction process. In this paper, we present parameter estimation method based on Bayesian statistics for combined fault detection and correction processes. A practical example is devoted to investigating the fitting performance of the proposed Bayesian approach.