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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE Transactions on software engineering 28, 10 (2002).
1. Verfasser: Tian, J.
Format: Artikel
Sprache:English
Schlagworte:
Data cluster based reliability models.
Data clustering.
Data grouping.
Identification.
Input domain reliability models.
Piecewise linear model.
Reliability assessment.
Software reliability growth models.