An Interval Estimation Approach of Optimal Software Release Time Based on a Nonparametric Bootstrap Method  
Author Shinji Inoue

 
Co-Author(s) Shigeru Yamada

 
Abstract We discuss an interval estimation method for cost-optimal software release time based on a discretized software reliability growth model. In our approach, we use a bootstrap method, in which we do not derive probability distributions of model parameters and optimal software release time analytically by using an asymptotic theory assuming a large number of samples. Our numerical examples confirm that our bootstrap approach yields simulation-based probability distributions of model parameters and cost-optimal software release time from software fault-count data.

 
Keywords Software reliability growth model, Discretized nonhomogeneous Poisson process model, Optimal software release problem, Interval estimation, Bootstrap method
   
    Article #:  1955
 
Proceedings of the 19th ISSAT International Conference on Reliability and Quality in Design
August 5-7, 2013 - Honolulu, Hawaii, U.S.A.