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..