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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ostrand, T.J. Weyuker, E.J. Bell, R.M. Ostrand, R.C.W. |
| Copyright Year | 2005 |
| Description | Author affiliation: AT&T Labs.-Res., USA (Ostrand, T.J.; Weyuker, E.J.; Bell, R.M.) |
| Abstract | We investigated a different mode of using the prediction model to identify the files associated with a fixed percentage of the faults. The tester could ask the tool to identify which files are likely to contain the bulks of faults, with the tester selecting any desired percentage of faults. Again the tool would return a list ordered in decreasing order of the predicted numbers of faults in the files the model expects to be most problematic. If the number of files identified is too large, the tester could reselect a smaller percentage of faults. This would make the number of files requiring particular scrutiny manageable. We expect both modes to be valuable to professional software testers and developers. |
| Sponsorship | IEEE Comput. Soc. Motorola |
| Starting Page | 3 |
| Ending Page | 4 |
| File Size | 49760 |
| Page Count | 2 |
| File Format | |
| ISBN | 0769524133 |
| ISSN | 07303157 |
| DOI | 10.1109/COMPSAC.2005.20 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-07-26 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | System testing Predictive models Fault diagnosis Fault detection Software testing Computer industry Software systems Automatic testing Data analysis Modeling |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Applications Software |
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