caa a22 4500 386350191 CHVBK 20180307111826.0 cr unu---uuuuu 161130e198907 xx s 000 0 eng 10.1017/S0269964800001200 doi S0269964800001200 pii (NATIONALLICENCE)cambridge-10.1017/S0269964800001200 Nayak Tapan K. Department of Statistics George Washington University Washington, D.C. 20052 Minimum Variance Unbiased Estimation of Software Reliability [Elektronische Daten] [Tapan K. Nayak] As the formal methods of proving correctness of a computer program are still very inadequate, in practice when a new piece of software is developed and all obvious errors are removed, it is tested with different (random) inputs in order to detect the remaining errors and assess its quality. We suppose that whenever the program fails the error causing the failure can be detected and removed correctly. Thus, the quality of the software increases as testing goes on. In this paper, we consider two different models and present the minimum variance unbiased estimators of the expected failure rate of the revised software at any time of testing t, based on the data generated up to that point. Copyright © Cambridge University Press 1989 Probability in the Engineering and Informational Sciences Cambridge University Press 3/3(1989-07), 335-340 0269-9648 3:3<335 1989 3 PES https://doi.org/10.1017/S0269964800001200 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1017/S0269964800001200 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Nayak Tapan K. Department of Statistics George Washington University Washington, D.C. 20052 NATIONALLICENCE 773 0- Probability in the Engineering and Informational Sciences Cambridge University Press 3/3(1989-07), 335-340 0269-9648 3:3<335 1989 3 PES CC0 http://creativecommons.org/publicdomain/zero/1.0 nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-cambridge