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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Schneidewind, N. |
| Copyright Year | 1963 |
| Abstract | We were curious about how well various reliability and testing models would compare with respect to prediction accuracy and testing effectiveness. Therefore, we conducted several experiments to evaluate these properties for the following models: fault tree analysis, geometric and binomial statistical models; and reliability growth models: Yamada S Shape Model, Schneidewind Single Parameter Model, and Schneidewind Software Reliability Model. We developed modified versions of the geometric and binomial models that comprise a new contribution to the body of software reliability research. The Yamada model provided the best prediction accuracy for one of the Shuttle's failure data sets. Future research would involve evaluating all models against multiple data sets. |
| Sponsorship | IEEE Reliability Society |
| Starting Page | 607 |
| Ending Page | 615 |
| Page Count | 9 |
| File Size | 317503 |
| File Format | |
| ISSN | 00189529 |
| Volume Number | 57 |
| Issue Number | 4 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | System testing Solid modeling Space shuttles Fault trees Software reliability Risk analysis Computer errors Predictive models Engines Failure analysis software testing Model comparison software reliability |
| Content Type | Text |
| Resource Type | Article |
| Subject | Safety, Risk, Reliability and Quality Electrical and Electronic Engineering |
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