Why software reliability predictions fail
Software reliability reflects a customer's view of the products we build and test, as it is usually measured in terms of failures experienced during regular system use. But our testing strategy is often based on early product measures, since we cannot measure failures until the software is plac...
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| Veröffentlicht in: | IEEE software 1996-07, Vol.13 (4), p.131-132 |
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| container_end_page | 132 |
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| container_title | IEEE software |
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| creator | Lanubile, F. |
| description | Software reliability reflects a customer's view of the products we build and test, as it is usually measured in terms of failures experienced during regular system use. But our testing strategy is often based on early product measures, since we cannot measure failures until the software is placed in the field. The author shows us that such measurement is not effective at predicting the likely reliability of the delivered software. |
| doi_str_mv | 10.1109/52.526841 |
| format | Article |
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| identifier | ISSN: 0740-7459 |
| ispartof | IEEE software, 1996-07, Vol.13 (4), p.131-132 |
| issn | 0740-7459 1937-4194 |
| language | eng |
| recordid | cdi_proquest_journals_215832876 |
| source | IEEE Electronic Library (IEL) |
| subjects | Discriminant analysis Failure Fault detection Hypotheses Information analysis Logistics Neural networks Predictive models Product design Product development Product testing Regression analysis Reliability Software Software measurement Software reliability Software testing Statistical analysis Variables |
| title | Why software reliability predictions fail |
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