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Lognormal Process Software Reliability Modeling with Testing-Effort

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DOI: 10.4236/jsea.2013.64A002    5,141 Downloads   6,942 Views   Citations


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.

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The authors declare no conflicts of interest.

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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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