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  4. Software reliability growth prediction - state of the art
 
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2005
Report
Title

Software reliability growth prediction - state of the art

Abstract
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.
Author(s)
Apel, S.
Publishing Place
Kaiserslautern
File(s)
Download (426.23 KB)
Rights
Use according to copyright law
DOI
10.24406/publica-fhg-292669
Language
English
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Keyword(s)
  • error prediction model

  • mathematical model

  • reliability

  • reliability data

  • software quality assurance

  • software quality measurement

  • software testing

  • statistical method

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