Software Reliability Modeling with Logistic Test Coverage Function

Test coverage is a good indicator for testing completeness and effectiveness. This paper utilizes the logistic function to describe the test coverage growth behavior. Based on the logistic test coverage function, a model that relates test coverage to fault detection is presented and fitted to one actual data set. The experimental results show that, compared with three existing models, the evaluation performance of this new model is the best at least with the experimental data. Finally, the logistic test coverage function is applied to the NHPP software reliability modeling for further research.