Referenced Items are not available for this document.
A set of linear combination software reliability models that combine the results of single, or component, models is presented. It is shown that, as measured by statistical methods for determining a model's applicability to a set of failure data, a combination model tends to have more accurate short-term and long-term predictions than a component model. These models were evaluated using both historical data sets and data from recent Jet Propulsion Laboratory projects. The computer-aided software reliability estimation (CASRE) tool, which automates many reliability measurement tasks and makes it easier to apply reliability models and to form combination models, is described.<
Published in:
Software, IEEE
(Volume:9
,
Issue:
4
)
Date of Publication: July 1992
- Page(s):
- 43 - 52
- ISSN :
- 0740-7459
- INSPEC Accession Number:
- 4241088
- Digital Object Identifier :
- 10.1109/52.143104
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- July 1992
- Sponsored by :
- IEEE Computer Society
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