Effective Confidence Interval Estimation Based on Ohba's Software Reliability Growth Model

Abstract

Software reliability is an essential quality indicator which can provide critical messages for software managers. Due to fact that most of researchers might improperly infer the variance regarding the mean value function, its confidence interval would not conform to the real world situation. In this situation, software manager cannot accurately 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, Ohba's model is used to build the SRGM with confidence intervals that can help the software developers to effectively determine the optimal release time in practice.