## Proceedings of the International School of Physics "Enrico Fermi", Volume 94 |

### From inside the book

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Page 121

It can , of course , be

failure function , the integral of f ( t ) , is conventionally called F ( t ) , and the

survival function is , therefore , 1 - F ( t ) . If the mechanism of failure is « normal

wear » ...

It can , of course , be

**derived**from f ( t ) , and we will call it r ( t ) . The cumulativefailure function , the integral of f ( t ) , is conventionally called F ( t ) , and the

survival function is , therefore , 1 - F ( t ) . If the mechanism of failure is « normal

wear » ...

Page 305

There are two basic approaches one could take in designing test cases : black -

box approach and white - box approach [ 15 ] . In blackbox approach , the test

cases are

system .

There are two basic approaches one could take in designing test cases : black -

box approach and white - box approach [ 15 ] . In blackbox approach , the test

cases are

**derived**from the external specifications and requirements of thesystem .

Page 334

Library procedures can be systematically

by DIJKSTRA [ 31 ] . Alternative methods include program transformation [ 37 ] ,

systematic recursion elimination [ 38 ] and verifying the implementation using ...

Library procedures can be systematically

**derived**using the approach developedby DIJKSTRA [ 31 ] . Alternative methods include program transformation [ 37 ] ,

systematic recursion elimination [ 38 ] and verifying the implementation using ...

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### Contents

STATISTICAL THEORY OF RELIABLITY | 8 |

Definitions and characterizations | 12 |

J KEILSON Stochastic models in reliability theory | 23 |

Copyright | |

37 other sections not shown

### Common terms and phrases

analysis application approach associated assume assumption BARLOW Bayesian calculation called complex components consider constant continuous correctness Course defined density depends derived described detected determine discussed distribution edited epochs equations equivalence ergodic errors estimate example exists expected exponential fact fail failure rate fault function given Hence important increasing independent input integration interest interval known likelihood limit Markov matrix mean measure method modules normal Note observed obtain occur operational parameters performance phase positive possible posterior predictive prior probability problem procedure prove random variables renewal repair requirements rule sample selected sequence simple software reliability space specification statistical stochastic structure Suppose task theorem theory tion transition tree University values York