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Issue No. 04 - July/August (1992 vol. 9)
ISSN: 0740-7459
pp: 43-52
<p>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.</p>
linear combination software reliability models; statistical methods; historical data sets; computer-aided software reliability estimation; software reliability

M. R. Lyu and A. Nikora, "Applying Reliability Models More Effectively," in IEEE Software, vol. 9, no. , pp. 43-52, 1992.
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