Discovery of Reliable Software using GOM on Interval Domain Data

Software reliability growth models using Non-Homogeneous Poisson Process(NHPP) with a mean value function –dependent on Linearly falling fault detection rate as proposed in the literature is considered. The well known Sequential Probability Ratio Test (SPRT) procedure of statistical science is adopted for the model in order to decide upon the reliability/ unreliability of developed software. The performance of the proposed model is demonstrated by using 6 Data Sets. General Terms Unreliable Software, exponential distribution, Mean value function, Intensity function , Statistical Quality Control..

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

[2]  Amrit L. Goel,et al.  Time-Dependent Error-Detection Rate Model for Software Reliability and Other Performance Measures , 1979, IEEE Transactions on Reliability.

[3]  Hoang Pham,et al.  A Generalized Logistic Software Reliability Growth Model , 2005 .

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

[5]  Satya Prasad Ravi,et al.  DETECTION OF RELIABLE SOFTWARE USING SPRT ON TIME DOMAIN DATA , 2011 .

[6]  John E. Gaffney,et al.  On predicting software reliability , 1989, [1989] Proceedings of the Thirteenth Annual International Computer Software & Applications Conference.

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

[8]  Harald A. Stieber.  Statistical quality control: How to detect unreliable software components , 1999 .

[9]  N. Supriya,et al.  Detection of Reliable Software Using SPRT , 2011 .

[10]  Nagarjuna Nagar.  Detection of Reliable Software Using HLSRGM , 2011 .

[11]  Satya Prasad Ravi,et al.  Detection of Reliable Software Using SPRT on Interval Domain Data , 2011 .

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