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Full-Text Articles in Applied Statistics
Estimation In A Marked Poisson Error Recapture Model Of Software Reliability, Rajan Gupta
Estimation In A Marked Poisson Error Recapture Model Of Software Reliability, Rajan Gupta
Mathematics & Statistics Theses & Dissertations
Nayak's (1988) model for the detection, removal, and recapture of the errors in a computer program is extended to a larger family of models in which the probabilities that the successive programs produce errors are described by the tail probabilities of discrete distribution on the positive integers. Confidence limits are derived for the probability that the final program produces errors. A comparison of the asymptotic variances of parameter estimates given by the error recapture and by the repetitive-run procedure of Nagel, Scholz, and Skrivan (1982) is made to determine which of these procedures efficiently uses the test time.
Software Reliability Models, Syed Afzal Hossain
Software Reliability Models, Syed Afzal Hossain
Mathematics & Statistics Theses & Dissertations
The problem considered here is the building of Non-homogeneous Poisson Process (NHPP) model. Currently existing popular NHPP process models like Goel-Okumoto (G-O) and Yamada et al models suffer from the drawback that the probability density function of the inter-failure times is an improper density function. This is because the event no failure in (0, oo] is allowed in these models. In real life situations we cannot draw sample(s) from such a population and also none of the moments of inter-failure times exist. Therefore, these models are unsuitable for modelling real software error data. On the other hand if the density …