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Number 11

Different Ranking of NHPP Software Reliability Growth Models with Generalised Measure and Predictability

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  • Nguyen Hung-cuong and Huynh Quyet-thang and Le Hai-trieu 2014. Different Ranking of NHPP Software Reliability Growth Models with Generalised Measure and Predictability. International Journal of Applied Information Systems. 7, 11 (November 2014), 1-6. DOI=http://dx.doi.org/10.5120/ijais451257 
  • @article{10.5120/ijais2017451568,
author = {Nguyen Hung-cuong and Huynh Quyet-thang and Le Hai-trieu},
title = {Different Ranking of NHPP Software Reliability Growth Models with Generalised Measure and Predictability},
journal = {International Journal of Applied Information Systems},
issue_date = {November 2014},
volume = {7},
number = {},
month = {November},
year = {2014},
issn = {},
pages = {1-6},
numpages = {},
url = {/archives/volume7/number11/691-1257},
doi = { 10.5120/ijais14-451257},
publisher = { xA9 2013 by IJAIS Journal},
address = {}
}

  • %1 451257
%A Nguyen Hung-cuong
%A Huynh Quyet-thang
%A Le Hai-trieu
%T Different Ranking of NHPP Software Reliability Growth Models with Generalised Measure and Predictability
%J International Journal of Applied Information Systems
%@ 
%V 7
%N 
%P 1-6
%D 2014
%I  xA9 2013 by IJAIS Journal

Abstract

How to improve the transfer capability of the weighted networks is one of the most important problems in complex networks. In this paper, a novel and effective routing strategy is proposed by deleting edges in proper order according to their different definitions of edge weight. Kicking out few specified edges can enhance the transfer capability of weighted networks greatly. Simulations on both compute generated and real world networks show that the routing strategy kicking out edges according to the product of the strengths of two nodes of the edge is more effective. Moreover, we analyse the curve of critical packet generation rate of kicking out all deletable edges and find that there is a sharp transition after kicking out some edges. Due to the strongly improved network capacity, easy realization on networks, and low cost, the strategy may be useful for real communication networks.

References

  1. H. Pham, System software reliability. Springer, 2006.
  2. A. L. Goel and K. Okumoto, "Time-dependent errordetection rate model for software reliability and other performance measures," Reliability, IEEE Transactions on, vol. 28, no. 3, pp. 206–211, 1979.
  3. S. Yamada, M. Ohba, and S. Osaki, "S-shaped software reliability growth models and their applications," Reliability, IEEE Transactions on, vol. 33, no. 4, pp. 289–292, 1984.
  4. J. D. Musa and K. Okumoto, "A logarithmic poisson execution time model for software reliability measurement," in Proceedings of the 7th international conference on Software engineering, pp. 230–238, IEEE Press, 1984.
  5. M. Lefebvre, Applied probability and statistics. Springer, 2006.
  6. M. Anjum, M. A. Haque, N. Ahmad, et al. , "Analysis and ranking of software reliability models based on weighted criteria value," International Journal of Information Technology and Computer Science, vol. 2, no. 1, 2013.
  7. M. Ohba, "Software reliability analysis models," IBM Journal of research and Development, vol. 28, no. 4, pp. 428– 443, 1984.

Keywords

Software Reliability Modelling, Non-homogeneous Poisson Process,

Index Terms

Computer Science
Information Sciences