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

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Page 128

General. - The sine qua non of a probabilistic risk assessment (PEA) of a

operation of the system and of the intcrdependencies among the components

and subsystems.

General. - The sine qua non of a probabilistic risk assessment (PEA) of a

**complex**system is a complete and thorough understanding of the normaloperation of the system and of the intcrdependencies among the components

and subsystems.

Page 296

It is difficult to quantify the effect of methodology used because software

development is a very

the software quality rather unpredictable. It is, therefore, safer to assume that

software is ...

It is difficult to quantify the effect of methodology used because software

development is a very

**complex**task involving many human factors which makethe software quality rather unpredictable. It is, therefore, safer to assume that

software is ...

Page 471

In

interrelated parallel activities involved and cognitive functions such as diagnosis

and decision making will become important. Because of the impossibility of

modelling ...

In

**complex**situations such as accident management, there may be manyinterrelated parallel activities involved and cognitive functions such as diagnosis

and decision making will become important. Because of the impossibility of

modelling ...

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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