| Article ID: | iaor20043046 |
| Country: | Netherlands |
| Volume: | 149 |
| Issue: | 2 |
| Start Page Number: | 459 |
| End Page Number: | 474 |
| Publication Date: | Sep 2003 |
| Journal: | European Journal of Operational Research |
| Authors: | zekici S., Soyer R. |
| Keywords: | markov processes, stochastic processes |
This article provides the stochastic and statistical framework to model software reliability in the presence of an operational profile. The software system is used under a randomly changing operational process so that the failure characteristics depend on the specific operation performed. The operational process describes, in a probabilistic sense, how the software is utilized by the users. The time to failure distribution for each fault is exponentially distributed with a rate that depends on the operation. As soon as a failure is experienced, the fault that caused the fault is removed immediately with certainty. We discuss several issues related to software reliability and statistical inference.