Two model comparisons of software reliability analysis for Burr type XII distribution
نویسندگان
چکیده
منابع مشابه
Considering Residual Faults of Burr Type XII Software Reliability Growth Model
Software Reliability Growth model (SRGM) is a mathematical model of how the software reliability improves as faults are detected and repaired. A large number of software reliability growth models have been proposed to analyze the reliability of software application during the testing phase, with the increasing demand to deliver high-quality software, more accurate software reliability models ar...
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A discrete analogue of generalized Burr-type XII distribution is introduced using a general approach of discretizing a continuous distribution. It may be worth exploring the possibility of developing a discrete version of the six parameter generalized Burr-type XII distribution for use in modeling a discrete data. This distribution is suggested as a suitable reliability model to fit a range of ...
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In this article, we consider the estimation of P[Y < X], when strength, X and stress, Y are two independent variables of Burr Type XII distribution. The MLE of the R based on one simple iterative procedure is obtained. Assuming that the common parameter is known, the maximum likelihood estimator, uniformly minimum variance unbiased estimator and Bayes estimator of P[Y < X] are discussed. The ex...
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Software reliability is the probability that the given software functions correctly under a given environment, during the specified period of time. During the software-testing phase, software reliability is highly related to the amount of development resources spent on detecting and correcting latent software errors, i.e. the amount of testing effort expenditures. This paper develops software r...
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ژورنال
عنوان ژورنال: Journal of the Korean Data and Information Science Society
سال: 2012
ISSN: 1598-9402
DOI: 10.7465/jkdi.2012.23.4.815