Goodness-of-fit test plays an important role in the statistics and reliability fields. Goodness-of-fit test for the common life distribution of unknown parameters was based on the resembling idea of parametric bootstrap. Simulation results show that goodness-of-fit test based on parametric bootstrap is superior to the traditional EDF tests, such as Liefors test, CvM test and AD test, especially in small samples.