Fitting software failure data with stochastic models

Abstract

Examination of data on software failure reveals that models which assume continuous reliability growth are not accurate. Simulation models incorporating more realistic assumptions have given results in closer accord with the data. Both the simulation models and the real data can be fitted by a simple logistic model.