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Software Reliability: Statistical Modeling & Estimation

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1 Author(s)
Nayak, T. ; George Washington University, Washington DC

This paper identifies some essential features of any statistical model for analyzing software failure data. A model for incorporating dependence among the detection times of the errors is proposed and several reliability measures are calculated. The maximum likelihood estimator of the initial number of errors in a software is derived and inherent difficulties in estimating the correlation from standard debugging data are discussed.

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Reliability, IEEE Transactions on  (Volume:35 ,  Issue: 5 )