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

### From inside the book

Results 1-3 of 68

Page 288

Hardware

reliability theory attempt to quantitatively measure the quality of the system which

is a function of the kind of

Hardware

**errors**vs. software**errors**. Both hardware reliability theory and softwarereliability theory attempt to quantitatively measure the quality of the system which

is a function of the kind of

**errors**in the system. As we note below, they are ...Page 301

la addition to the general assumption given in 4'4.1, the GPM further assumes 1)

consecutive inputs have the same disjoint failure probabilities, 2) all

the same disjoint failure rates, 3) no new

la addition to the general assumption given in 4'4.1, the GPM further assumes 1)

consecutive inputs have the same disjoint failure probabilities, 2) all

**errors**havethe same disjoint failure rates, 3) no new

**errors**are introduced upon**error**...Page 328

in terms of the estimated number of

models in this category assumed that all the

14, ...

**Error**-counting models. These models attempt to estimate the software reliabilityin terms of the estimated number of

**errors**remaining in the program. The earlymodels in this category assumed that all the

**errors**had the same**error**rates [3,14, ...

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Contents

System Eeliabujty | 3 |

Statistical Theory of Eeliablitt | 8 |

Definitions and characterizations | 12 |

Copyright | |

39 other sections not shown

### Other editions - View all

### 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