## Proceedings of the International School of Physics "Enrico Fermi". |

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Page 296

Almost all software reliability models assume that the test environment is identical

to the

eases that require a high confidence in the reliability estimate. 4) Correction ...

Almost all software reliability models assume that the test environment is identical

to the

**operational**environment. This limits the applicability of these models ineases that require a high confidence in the reliability estimate. 4) Correction ...

Page 326

The major assumption of all software reliability growth models is: Assumption.

Inputs are selected randomly and independently from the input domain according

to the

in ...

The major assumption of all software reliability growth models is: Assumption.

Inputs are selected randomly and independently from the input domain according

to the

**operational**distribution. This is a very strong assumption and will not holdin ...

Page 327

The above relation becomes B,(t) = i^fexp [AJJ/(T)(s))ds]] , 0 where Xj , = failure

rate after j-th failure; 0<A,<cx3; Tj{s) = testing process at time s after j'-th failure; f(

Tj(s)) = severity of testing process relative to

The above relation becomes B,(t) = i^fexp [AJJ/(T)(s))ds]] , 0 where Xj , = failure

rate after j-th failure; 0<A,<cx3; Tj{s) = testing process at time s after j'-th failure; f(

Tj(s)) = severity of testing process relative to

**operational**distribution; 0 /(T,(s))<00.### What people are saying - Write a review

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### Contents

System Eeliabujty | 3 |

Statistical Theory of Eeliablitt | 8 |

Definitions and characterizations | 12 |

Copyright | |

39 other sections not shown

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### Common terms and phrases

algorithm approach associated assume assumption Bayesian boundary points chain coherent system complex conjugate prior consider correctness defined denote detected discussed edited equations equivalence class ergodic errors example exponential distribution failure rate Fault Tree Analysis function gamma given human reliability IEEE Trans IFEA implementation increasing independent input domain integration interval likelihood Markov Markov chain matrix mean method modules monotone month2 N. D. Singpurwalla number of failures number of system NUMITEMS observed obtained operational output parameters phase Poisson Poisson process possible predictive prior distribution probability problem procedure Proschan R. E. Barlow random variables reliability growth models reliability theory renewal theory repair requirements sample sect sequence Software Eng software reliability software reliability models specification Stat statistical stochastic stochastic process subsection system failure system reliability techniques theorem tion tt tt values vector zero