Better reliability assessment and prediction through data clustering.

Better reliability assessment and prediction through data clustering.

This paper presents a new approach to software reliability modeling by grouping data into clusters of homogeneous failure intensities. This series of data clusters associated with different time segments can be directly used as a piecewise linear model for reliability assessment and problem identifi...

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Publicat a:IEEE Transactions on software engineering 28, 10 (2002).
Autor principal: Tian, J.
Format: Article
Idioma:English
Matèries:
Data cluster based reliability models.
Data clustering.
Data grouping.
Identification.
Input domain reliability models.
Piecewise linear model.
Reliability assessment.
Software reliability growth models.