Title :
Software Reliability: Statistical Modeling & Estimation
Author :
Nayak, Tapan Kumar
Author_Institution :
George Washington University, Washington DC
Abstract :
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.
Keywords :
Computer errors; Data analysis; Failure analysis; Maximum likelihood detection; Maximum likelihood estimation; Probability; Software debugging; Software reliability; Statistical analysis; Statistical distributions;
Journal_Title :
Reliability, IEEE Transactions on
DOI :
10.1109/TR.1986.4335548
