Applying reliability models more effectively (software)
- 1 July 1992
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Software
- Vol. 9 (4) , 43-52
- https://doi.org/10.1109/52.143104
Abstract
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.Keywords
This publication has 2 references indexed in Scilit:
- Evaluation of competing software reliability predictionsIEEE Transactions on Software Engineering, 1986
- Present Position and Potential Developments: Some Personal Views: Statistical Theory: The Prequential ApproachJournal of the Royal Statistical Society. Series A (General), 1984