Study for Predict of the Future Software Failure Time Using Nonlinear Regression

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 215)

Abstract

Software failure time have been proposed in the literature exhibit either constant, monotonic increasing or monotonic decreasing. For data analysis of software reliability model trend analysis was developed. The methods of trend analysis are arithmetic mean test and Laplace trend test. Trend analysis only offers information of outline content. In this paper, we discuss failure time case of failure time censoring, and predict the future failure time using nonlinear regression models (growth, Logistic and weighted type) which error terms for each other are different. The proposed prediction method used the failure time for the prediction using nonlinear regression model. Model selection, using the coefficient of determination and the mean square error, were presented for effective comparison.

Keywords

Software reliability Time censoring Nonlinear regression 

Notes

Acknowledgments

Funding for this paper was provided by Namseoul University.

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Department of Sport and Leisure StudiesKwandong UniversityGangneung-siSouth Korea
  2. 2.Department of Industrial and Management EngineeringNamseoul UniversityCheonan-siSouth Korea

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