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Lognormal Process Software Reliability Modeling with Testing-Effort
Department of Social Management Engineering, Graduate School of Engineering, Tottori University, Tottori, Japan
Department of Social Management Engineering, Graduate School of Engineering, Tottori University, Tottori, Japan
- 1 Department of Social Management Engineering, Graduate School of Engineering, Tottori University, Tottori, Japan
- 2 Department of Social Management Engineering, Graduate School of Engineering, Tottori University, Tottori, Japan
Journal of Software Engineering and Applications·Volume 06 (2013)·Pages 8–14·Published 26 April 2013·DOI10.4236/jsea.2013.64A002
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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.
KeywordsSoftware Reliability Growth ModelLognormal ProcessTesting-Effort FunctionSoftware Reliability Assessment MeasuresGoodness-of-Fit
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