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The infeasibility of experimental quantification of life-critical software reliability
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Source ACM SIGSOFT Software Engineering Notes archive
Volume 16 ,  Issue 5  (December 1991) table of contents
Pages: 66 - 76  
Year of Publication: 1991
ISSN:0163-5948
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Authors
Ricky W. Butler  NASA Langley Research Center, Mail Stop 130, Hampton, VA
George B. Finelli  NASA Langley Research Center, Mail Stop 130, Hampton, VA
Publisher
ACM  New York, NY, USA
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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AVIZIENIS, A. The n-version approach to faulttolerant software. IEEE Transactions on Sojlware Engineering (Dec. 1985), 1491-1501.
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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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CITED BY  11

Collaborative Colleagues:
Ricky W. Butler: colleagues
George B. Finelli: colleagues