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S-Shaped Reliability Growth Modeling for Software Error Detection

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3 Author(s)
Shigeru Yamada ; Okayama University of Science, Okayama; Department of Industrial and Systems Engineering; Faculty of Engineering; Hiroshima University; Higashi-Hiroshima 724 JAPAN. ; Mitsuru Ohba ; Shunji Osaki

This paper investigates a stochastic model for a software error detection process in which the growth curve of the number of detected software errors for the observed data is S-shaped. The software error detection model is a nonhomogeneous Poisson process where the mean-value function has an S-shaped growth curve. The model is applied to actual software error data. Statistical inference on the unknown parameters is discussed. The model fits the observed data better than other models.

Published in:

IEEE Transactions on Reliability  (Volume:R-32 ,  Issue: 5 )