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On the Comparison of two Software Relibility Estimators

Published online by Cambridge University Press:  27 July 2009

Cyrus Derman  and
Showlong P. Koh
Cyrus Derman
Affiliation:
Department of Industrial Engineering and Operations Research Columbia University New York, New York 10027
Showlong P. Koh
Affiliation:
New York City Fire Department New York, New York 10038
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Abstract

Two different estimators of the failure rate of software are compared. It is shown that one tends to be better when the number of errors is small to moderate and the other when the number of errors is large.

Type
Articles
Information
Probability in the Engineering and Informational Sciences , Volume 2 , Issue 1 , January 1988 , pp. 15 - 21
Copyright
Copyright © Cambridge University Press 1988

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References

Cramer, H. (1946). Mathematical methods of statistics. Princeton, New Jersey: Princeton University Press.Google Scholar
Robbins, H. (1968). Estimating the probability of unbounded events. Annual Math. Stat. 39: 256–257.CrossRefGoogle Scholar
Ross, S.M. (1985). Statistical estimation of software reliability. IEEE Transaction on Software Engineering 11 (5): 479–483.CrossRefGoogle Scholar