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Confidence Interval Estimation of Software Reliability Growth Models based on Ohba’s Inflection S-shaped Model

Tean-Quay Lee1, Chih-Chiang Fang1, and Chun-Wu Yeh2
1.Department of Information Management, Shu-Te University, Taiwan, R.O.C.
2.Department of Information Management, Kun Shan University, Taiwan, R.O.C.
Abstract—Software reliability growth models with confidence intervals (SRGMs) are often utilized in software industry in that they provide useful information for software developers to decide the optimal software release time and to refine the quality of software testing tasks. Most SRGMs, nonetheless, do not have transparent explanations for the variance estimation of cumulative software errors. They might not be effective in deducing the confidence interval regarding the mean value function. In such cases, software developers cannot estimate the possible risk variation of software system by using the randomness of mean value function, and it might debase the practicability of applications. In this paper, we utilize Ohba’s Inflection S-shaped model to build the SRGM with confidence intervals that can assist the software developers in determining the optimal release time.

Index Terms—Software Reliability Growth Model; software reliability; confidence intervals; stochastic differential equations; Non-homogeneous Poisson process

Cite: Tean-Quay Lee, Chih-Chiang Fang, and Chun-Wu Yeh, "Confidence Interval Estimation of Software Reliability Growth Models based on Ohba’s Inflection S-shaped Model," Journal of Industrial and Intelligent Information, Vol. 1, No. 4, pp. 196-200, December 2013. doi: 10.12720/jiii.1.4.196-200
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