Reliability (version 0.0-2)

duane.plot: Plotting the mean value function for the Duane model

Description

duane.plot plots the mean value function for the Duane model and the raw data into one window.

Usage

duane.plot(rho, theta, t, xlab = "time",  ylab = "Cumulated failures and estimated mean value function",  main = NULL)

Arguments

rho

parameter value for rho

theta

parameter value for theta

t

time between failure data

xlab

a title for the x axis

ylab

a title for the y axis

main

an overall title for the plot

Value

A graph of the mean value function for the Duane model and of the raw data.

Details

This function gives a plot of the mean value function for the Duane model. Here the estimated parameter values for rho and theta, which are obtained by using duane, can be put in. Internally the function mvf.duane is used to get the mean value function for the Duane model.

References

J.D. Musa, A. Iannino, and K. Okumoto. Software Reliability: Measurement, Prediction, Application. McGraw-Hill, 1987.

Michael R. Lyu. Handbook of Software Realibility Engineering. IEEE Computer Society Press, 1996. http://www.cse.cuhk.edu.hk/~lyu/book/reliability/

See Also

duane, mvf.duane

Examples

# time between-failure-data from DACS Software Reliability Dataset
# homepage, see system code 1. Number of failures is 136.
t <- c(3, 30, 113, 81, 115, 9, 2, 20, 20, 15, 138, 50, 77, 24,
       108, 88, 670, 120, 26, 114, 325, 55, 242, 68, 422, 180,
       10, 1146, 600, 15, 36, 4, 0, 8, 227, 65, 176, 58, 457,
       300, 97, 263, 452, 255, 197, 193, 6, 79, 816, 1351, 148,
       21, 233, 134, 357, 193, 236, 31, 369, 748, 0, 232, 330,
       365, 1222, 543, 10, 16, 529, 379, 44, 129, 810, 290, 300,
       529, 281, 160, 828, 1011, 445, 296, 1755, 1064, 1783, 
       860, 983, 707, 33, 868, 724, 2323, 2930, 1461, 843, 12,
       261, 1800, 865, 1435, 30, 143, 108, 0, 3110, 1247, 943,
       700, 875, 245, 729, 1897, 447, 386, 446, 122, 990, 948,
       1082, 22, 75, 482, 5509, 100, 10, 1071, 371, 790, 6150,
       3321, 1045, 648, 5485, 1160, 1864, 4116)
      
rho <- duane(t)$rho
theta <- duane(t)$theta

duane.plot(rho, theta, t, xlab = "time (in seconds)", main = "Duane model")