Software Reliability using SPRT: Log Power Model

In Classical Hypothesis testing volumes of data is to be collected and then the conclusions are drawn, which may need more time. But, Sequential Analysis of Statistical science could be adopted in order to decide upon the reliability / unreliability of the developed software very quickly. The procedure adopted for this is, Sequential Probability Ratio Test (SPRT). It is designed for continuous monitoring. The likelihood based SPRT proposed by Wald is very general and it can be used for many different probability distributions. The parameters are estimated using Maximum Likelihood Estimation method.In the present paper, we have applied the Log Power model to five sets of existing software reliability data and analyzed the results

[1]  Ming Zhao,et al.  On the log-power NHPP software reliability model , 1992, [1992] Proceedings Third International Symposium on Software Reliability Engineering.

[2]  J. Andel Sequential Analysis , 2022, The SAGE Encyclopedia of Research Design.

[3]  R Satya Prasad Half logistic software reliability growth model , 2007 .

[4]  Thong Ngee Goh,et al.  Some effective control chart procedures for reliability monitoring , 2002, Reliab. Eng. Syst. Saf..

[5]  Harald A. Stieber,et al.  Statistical quality control: how to detect unreliable software components , 1997, Proceedings The Eighth International Symposium on Software Reliability Engineering.

[6]  Hoang Pham,et al.  System Software Reliability , 1999 .

[7]  A. Wood,et al.  Predicting Software Reliability , 1996, Computer.