Hyper-geometric distribution model to estimate the number of residual software faults
Yoshihiro Tohma, R. Jacoby, Y. Murata, Masaki Yamamoto · 2003
It is shown that the hyper-geometric distribution model can be applied to different types of test-and-debug data to estimate the number of initial software faults. Examples show that the fitness of the estimated growth curves of the model to real data is satisfactory. The relationship of the model to those proposed earlier is clarified. Some of them can be expressed as a special case of the proposed model. The S-shaped characteristic of the growth curve can also be introduced using this model.>