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Statistical inference of a three-parameter distribution with closed-form mean residual life function is studied for complete and Type-II censored data. Because the log-likelihood function for this new distribution is not convex, the sequential quadratic programming method used for the maximum likelihood estimation easily diverges. Therefore, a modified Monte Carlo EM algorithm is proposed for parameter...
The development of computer networks, especially the Internet, has largely facilitated the communications among software developers and it resulted a thriving of open source software systems (OSS). As more and more open source software systems are deployed by individuals and enterprises, it is vital to study such systems separately from traditional software systems since their development and maintenance...
Software reliability modeling & estimation plays a critical role in software development, particularly during the software testing stage. Although there are many research papers on this subject, few of them address the realistic time delays between fault detection and fault correction processes. This paper investigates an approach to incorporate the time dependencies between the fault detection,...
Most of the models for software reliability analysis are based on reliability growth models which deal with the fault detection process only. In this paper, some useful approaches to the modeling of both software fault detection and fault correction processes are discussed. Since the estimation of model parameters in software testing is essential to give accurate prediction and help make the right...
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