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Software reliability growth prediction - state of the art

: Apel, S.

Fulltext urn:nbn:de:0011-n-295448 (427 KByte PDF)
MD5 Fingerprint: 29b97167c2b39734d0c64bb0bcfe2946
Created on: 21.07.2005

Kaiserslautern, 2005, VII, 38 pp. : Ill., Lit.
IESE-Report, 034.05/E
Reportnr.: 034.05/E
Report, Electronic Publication
Fraunhofer IESE ()
error prediction model; mathematical model; reliability; reliability data; software quality assurance; software quality measurement; software testing; statistical method

This report gives an introduction to the State of the Art of Software Reliability Prediction. It starts with a description of a general modelling approach, gives details on a family of Software Reliability Growth Models called nonhomogeneous poisson process models. It further explores quantitative measures to evaluate the prediction quality of models and the application procedures. The last chapters give insight into conducted empirical studies to validate the theoretical models and states open problems mentioned in literature on the subject.