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.
|Title of host publication||IEEE INMIC 2008|
|Subtitle of host publication||12th IEEE International Multitopic Conference - Conference Proceedings|
|Number of pages||3|
|Publication status||Published - 2008|
|Event||12th IEEE International Multitopic Conference, IEEE INMIC 2008 - Karachi, Pakistan|
Duration: 23 Dec 2008 → 24 Dec 2008
|Name||IEEE INMIC 2008: 12th IEEE International Multitopic Conference - Conference Proceedings|
|Conference||12th IEEE International Multitopic Conference, IEEE INMIC 2008|
|Period||23/12/08 → 24/12/08|
- Inter-failure time
- Multilayer perceptron
- Neural networks.
- Software reliability