Title :
S-Shaped Reliability Growth Modeling for Software Error Detection
Author :
Yamada, Shigeru ; Ohba, Mitsuru ; Osaki, Shunji
Author_Institution :
Okayama University of Science, Okayama; Department of Industrial and Systems Engineering; Faculty of Engineering; Hiroshima University; Higashi-Hiroshima 724 JAPAN.
Abstract :
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.
Keywords :
Computer errors; Covariance matrix; Data analysis; Maximum likelihood detection; Programming; Software reliability; Software systems; Software testing; Software tools; Stochastic processes; Asymptotic distribution; Nonhomogeneous Poisson process; S- shaped growth; Software error detection; Software reliability model; Statistical inference;
Journal_Title :
Reliability, IEEE Transactions on
DOI :
10.1109/TR.1983.5221735
