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Software Reliability Modeling

International Statistical Review / Revue Internationale de Statistique, 1994
Summary: Probability models and statistical methods are a popular technique for evaluating the reliability of computer software. This paper reviews the literature concerning these methods, with an emphasis on the historical perspective. The use of stochastic techniques is justified, and the various probability models that have been proposed, along with
Singpurwalla, Nozer D., Wilson, Simon P.
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Foreword software reliability

IEEE Transactions on Software Engineering, 1985
THIS is the second part of the special issue on Software Reliability. Part I was published in December 1985 and dealt with software reliability estimation, new modeling techniques, management issues, testing and verification, and fault-tolerant programs. Papers in this issue address software reliability models, hardware-software effects, fault-tolerant
A.L. Goel, F.B. Bastani
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Standards-software reliability handbook: achieving reliable software

Computer, 1992
The results to date of a three-year research effort on software reliability engineering sponsored by the American Institute of Astronautics and Aeronautics (AIAA) are discussed. After a standard for recommended practice for software reliability estimation was approved by the AIAA, a blue-ribbon panel of industry experts was convened to consider the ...
D.M. Siefert, G.E. Stark
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Software reliability

Proceedings of the May 19-22, 1975, national computer conference and exposition on - AFIPS '75, 1975
Software reliability is receiving increased attention from a broad spectrum of computer users as larger computer programs continue to be implemented in diverse and widespread areas. The reason is fundamental: software reliability has been poor on many large systems and poor on systems which have a high degree of human interaction.
R. H. Thayer, E. S. Hinton
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Software Reliability

Computer, 1971
During the last decade there have appeared in the literature many contributions on the reliability aspects of computer hardware, but relatively few on software. We see this balance changing as software is now becoming the most expensive and complex item in a computer installation. This situation is intensifying as applications become more sophisticated,
B. Elspas, M.W. Green, K.N. Levitt
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