On the Effect of Fault Removal in Software Testing - Bayesian Reliability Estimation Approach

Abstract

In this paper, we propose some reliability estimation methods in software testing. The proposed methods are based on the familiar Bayesian statistics, and can be characterized by using test outcomes in input domain models. It is shown that the resulting approaches are capable of estimating software reliability in the case where the detected software faults are removed. In numerical examples, we compare the proposed methods with the existing method, and investigate the effect of fault removal on the reliability estimation in software testing. We show that the proposed methods can give more accurate estimates of software reliability