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Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/10177

Title: A moving average modeling approach for computing component-based software reliability growth trends
???metadata.dc.creator???: Wang, Wen-Li
Hemminger, Thomas L.
Tang, Mei-Huei
Keywords: Component-based software
Moving average
Fast fourier transform
Markov model
Software baseado em componentes
Média móvel
Transformada rápida de Fourier
Modelo de Markov
Publisher: Editora da UFLA
???metadata.dc.date???: 1-Sep-2006
Citation: WANG, W.; HEMMINGER, T. L.; TANG, M. A moving average modeling approach for computing component-based software reliability growth trends. INFOCOMP: Journal of Computer Science, Lavras, v. 5, n. 3, p. 9-18, Sept. 2006.
Abstract: This paper introduces a moving average reliability growth model to describe the evolution of component-based software. In this model, the reliability of a system is a function of the reliabilities of its constituent components. The moving average provides a trend indicator to depict reliability growth movement within the evolution of a series of component enhancements. The moving average can reduce the effects of bias or measurement error of certain components by rendering a smoothed trend of system reliability growth. The input parameters are the components’ configurations and individual reliability growths. The output is a vector of moving averaged system reliability growths indicating increasing component enhancement. The application of this model can facilitate cost/performance evaluation and support decision making for future software maintenance. More importantly, without introducing excessive computation, the model can be combined with many existing component-based reliability models to compute overall reliability growth.
Other Identifiers: http://www.dcc.ufla.br/infocomp/index.php/INFOCOMP/article/view/138
???metadata.dc.language???: eng
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