Confidence Interval Estimation of Software Reliability Growth Models based on Ohba’s Inflection S-shaped Model
Tean-Quay Lee, Chih‐Chiang Fang, Chun-Wu Yeh · Journal of Industrial and Intelligent Information · 2013
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 Sshaped model to build the SRGM with confidence intervals that can assist the software developers in determining the optimal release time.