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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cheung, R.C. |
| Copyright Year | 1978 |
| Description | Author affiliation: Bell Telephone Laboratories (Cheung, R.C.) |
| Abstract | A user-oriented reliability model has been developed to measure the reliability of service that a system provides to a user community. It has been observed that in many systems, especially software systems, reliable service can be provided to a user when it is known that errors exist, provided that the service requested does not utilize the defective parts. The reliability of service, therefore, depends both on the reliability of the components and the probabilistic distribution of ulitization of the components to provide the service. In this paper a user-oriented reliability figure of merit is defined to measure the reliability of a software system with respect to a user environment. The effects of the user profile, which summarizes the characteristics of the users of a system, on system reliability is discussed. A simple Markov model is formulated to determine the reliability of a software system based on the reliability of each individual module and the measured inter-modular transition probabilities as the user profile. Sensitivity analysis techniques are developed to determine modules most critical to system reliability. The applications of this model to develop cost-effective testing strategies and to determine the expected penalty cost of failure are also discussed. Some future refinements and extensions of the model are presented. |
| Starting Page | 565 |
| Ending Page | 570 |
| File Size | 609654 |
| Page Count | 6 |
| File Format | |
| DOI | 10.1109/CMPSAC.1978.810485 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1978-11-13 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Software reliability Software systems Software measurement Sensitivity analysis Application software Testing Costs Hardware Computer bugs Performance evaluation |
| Content Type | Text |
| Resource Type | Article |
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