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Lognormal Process Software Reliability Modeling with Testing-Effort

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DOI: 10.4236/jsea.2013.64A002    5,195 Downloads   7,030 Views   Citations

ABSTRACT

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 data.

Conflicts of Interest

The authors declare no conflicts of interest.

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. 4A, 2013, pp. 8-14. doi: 10.4236/jsea.2013.64A002.

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