We propose a software reliability
growth model with testing-effort based on a continuous-state space stochastic
process, such as a lognormal process, and conduct its goodness-of-fit
evaluation. We also discuss a parameter estimation method of our model. Then,
we derive several software reliability assessment measures by the probability
distribution of its solution process, and compare our model with existing
continuous-state space software reliability growth models in terms of the mean
square error and the Akaike’s information criterion by using actual fault count
Cite this paper
S. Inoue and S. Yamada, "Lognormal Process Software Reliability Modeling with Testing-Effort," Journal of Software Engineering and Applications, Vol. 6 No. 4, 2013, pp. 8-14. doi: 10.4236/jsea.2013.64A002.
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