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Applying Reliability Models More Effectively
July/August 1992 (vol. 9 no. 4)
pp. 43-52

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.

Index Terms:
linear combination software reliability models; statistical methods; historical data sets; computer-aided software reliability estimation; software reliability
Michael R. Lyu, Allen Nikora, "Applying Reliability Models More Effectively," IEEE Software, vol. 9, no. 4, pp. 43-52, July-Aug. 1992, doi:10.1109/52.143104
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