| The infeasibility of experimental quantification of life-critical software reliability |
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ACM SIGSOFT Software Engineering Notes
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Volume 16 , Issue 5 (December 1991)
table of contents
Pages: 66 - 76
Year of Publication: 1991
ISSN:0163-5948
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Downloads (6 Weeks): 0, Downloads (12 Months): 27, Citation Count: 11
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REFERENCES
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KEILLER, P. A., AND MILLER, D. R. On the use and the performance of software reliability growth models. Reliability Engineeraing and System Safety (1991), 95-117.
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LITTLEWOOD, B. Stochastic reliability-growth: A model for fault-removal in computer programs and hardware designs. IEEE Transactions on Reliability (1981), 313-320.
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LITTLEWOOD, B. Predicting software reliability.Philosophical Transactions of the Royal Society (London) (1989), 513-526.
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LITTLEWOOD, B., AND KEILLER, P. A. Adaptive software reliability modeling. In 14th International Symposium on Fault-Tolerant Computing (1984), IEEE Computer Society Press, pp. 108-113.
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MANN, N. R., SCHAFER, R. E., AND SINGPUR- WIALLA, N. D. Methods for Statistical Analysis of Reliability and Life Data. John Wiley & Sons, New York, 1974.
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MILLER, D. Making statistical inferences about software reliability y. NASA Contractor Report 4197, Nov. 1988.
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NAGEL, P. M., AND SKRIVAN, J. A. Software reliability: Repetitive run experimentation and modeling. NASA Contractor Report 165836, Feb. 1982.
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PETERSON, I. A digital matter of life and death. Science News (Mar. 1988).
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