Estimating confidence interval of software reliability with adaptive testing strategy
We propose a new adaptive testing strategy for software reliability assessment. Bayesian inference and quadratic loss function are adopted for test case selection. Both estimator variance and width of confidence interval can be minimized. The computational overhead incurred in decision-making is controllable.
confidence interval adaptive testing reliability assessment