Consider the Test Coverage Function and Software Reliability Evaluation Model for Imperfect Troubleshooting

Abstract

In order to simultaneously describe the impact of two important test factors, test coverage and imperfect troubleshooting, on the reliability of software reliability assessment, and improve the evaluation accuracy of existing software reliability models, this paper based on test coverage function, based on test coverage Software reliability modeling method for rate and imperfect troubleshooting. Firstly, based on the non-homogeneous Poisson process (NHPP), a software reliability modeling framework considering test coverage function and imperfect troubleshooting assumptions is proposed. On this basis, the test coverage function is combined with the imperfect troubleshooting situation, and a new software reliability evaluation model (ILTCS) is proposed. On the three sets of real failure data sets, the proposed model is compared with several classical software reliability growth models. The example verification results show that the proposed new model is accurate and accurate on the two sets of failure data sets. Both are significantly better than others. Therefore, considering the test coverage function and imperfect troubleshooting in the modeling process, the fitting and predictive performance of the software reliability model can be effectively improved.