Two model comparisons of software reliability analysis for Burr type XII distribution

  • An, Jeong-Hyang (Department of Internet Information, Daegu Haany University)
  • Received : 2012.06.14
  • Accepted : 2012.07.14
  • Published : 2012.07.31


In this paper reliability growth model in which the operating time between successive failure is a continuous random variable is proposed. This model is for Burr type XII distribution with two parameters which is discussed in two versions: the order statistics and non-homogeneous Poisson process. The two software reliability measures are obtained. The performance for two versions of the suggested model is tested on real data set by U-plot and Y-plot using Kolmogorov distance.


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