@inproceedings{5d7d77f16dd149e882482d98a07c32dc,
title = "Modeling inter-failure time series using neural networks",
abstract = "Software inter-failure time series analysis has always been a question mark for the reliability engineers. Many models have been proposed since the problem of reliability discovers, but none of them produces adequate results. This study presents a neural network perspective of modeling inter-failure time of software. We compare different parametric models of software reliability with our proposed neural network model and found the proposed more suitable.",
keywords = "Component, Inter-failure time, Multilayer perceptron, Neural networks., Software reliability",
author = "Zaidi, {S. Jamal H.} and Danial, {Syed Nasir} and Usmani, {Bilal A.}",
year = "2008",
doi = "10.1109/INMIC.2008.4777772",
language = "English",
isbn = "9781424428243",
series = "IEEE INMIC 2008: 12th IEEE International Multitopic Conference - Conference Proceedings",
pages = "409--411",
booktitle = "IEEE INMIC 2008",
note = "12th IEEE International Multitopic Conference, IEEE INMIC 2008 ; Conference date: 23-12-2008 Through 24-12-2008",
}