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A Model for Reliability Estimation of Software based Systems by Integrating Hardware and Software

Published on None 2011 by Shelbi Joseph, Shouri P.V, Jagathy Raj V. P
journal_cover_thumbnail

Computational Science - New Dimensions & Perspectives
Foundation of Computer Science USA
NCCSE - Number 1
None 2011
Authors: Shelbi Joseph, Shouri P.V, Jagathy Raj V. P
49d5b0c9-bef8-4585-bed7-848e0d9289a1

Shelbi Joseph, Shouri P.V, Jagathy Raj V. P . A Model for Reliability Estimation of Software based Systems by Integrating Hardware and Software. Computational Science - New Dimensions & Perspectives. NCCSE, 1 (None 2011), 26-29.

@article{
author = { Shelbi Joseph, Shouri P.V, Jagathy Raj V. P },
title = { A Model for Reliability Estimation of Software based Systems by Integrating Hardware and Software },
journal = { Computational Science - New Dimensions & Perspectives },
issue_date = { None 2011 },
volume = { NCCSE },
number = { 1 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 26-29 },
numpages = 4,
url = { /specialissues/nccse/number1/1854-156/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Computational Science - New Dimensions & Perspectives
%A Shelbi Joseph
%A Shouri P.V
%A Jagathy Raj V. P
%T A Model for Reliability Estimation of Software based Systems by Integrating Hardware and Software
%J Computational Science - New Dimensions & Perspectives
%@ 0975-8887
%V NCCSE
%N 1
%P 26-29
%D 2011
%I International Journal of Computer Applications
Abstract

Software reliability engineering has gained considerable momentum in the recent past. A variety of models are available for the evaluation of software reliability. However the models, as such, cannot be applied for software based systems as any given system is comprised of both hardware and software. The present paper brings up an algorithm for determining reliability of software based systems by integrating both hardware reliability and software reliability. The open source software data is made use of and the methodology for evaluating the software reliability involves identifying a fixed number of packages at the start of the time and defining the failure rate based on the failure data for these preset number of packages. The defined function of the failure rate is used to arrive at the software reliability model. The hardware reliability is obtained using constant hazard model.

References
  1. Kumar D, Klefsjo B, Kumar U. Reliability analysis of power-transmission cables of electric loaders using a proportional-hazard model. J Reliability engineering & system safety 1992; 37:217–22.
  2. Goel HD, Grievink J, Herder PM, Weijnen MPC. Integrating reliability optimization into chemical process synthesis. J Reliability Engineering and System Safety 2002; 78:247–258.
  3. Patrick DTO. Practical reliability engineering, 4th ed. England: John Wiley & Sons Ltd; 2002.
  4. Charles EE. Reliability and maintainability engineering.1st ed. New Delhi: Tata McGraw-Hill Publishing Company Ltd; 2000.
  5. Srinath LS. Reliability engineering. 3rd ed. New Delhi:Affiliated East West Press;1991.
  6. Weiguo Li,Yongfu Wang, He Huang A new model for software reliability Fifth international Joint Conference on INC, IMS and IDC, 2009 IEEE.
  7. Michael R Lyu Software Reliability Engineering: A Roadmap, Future of Software engineering (FOSE 07) May 2007 IEEE.
  8. J.D. Musa and A. Iannino. Software reliability modelling-accounting for program size variation due to integration or design changes. Proceedings of the 1981 ACM workshop/symposium on Measurement and evaluation of software quality, 1981. pp 129-130.
  9. Ying ZHOU,Joseph Davis. Open Source Software reliability model: an empirical approach, ACM 2005.
  10. Sharifah Mashita Syed-Mohamad,Tom McBride. A comparison of the Reliability Growth of Open Source and In-House Software. 2008 IEEE 15th Asia-Pacific Software Engineering Conference
  11. Obra Rahmani,Harvey Siy, Azad Azadmanesh. An Experimental Analysis of Open Source Software Reliability. Department of Defense/Air Force Office of Scientific Research
  12. Lars M.Karg, Michael Grottke, Arne Beckhausa . Conformance Quality and Failure Costs in the Software Industry: An Empirical Analysis of Open Source Software. 2009 IEEE.
  13. Kan H.S. Metrics and models in software quality engineering, 2nd edition, Addison-Wesley(2003).
  14. S.P. Leblanc, P.A.Roman Reliability Estimation of Hierarchical Software Systems. 2002 Proceedings annual reliability and maintainability symposium.
  15. J D Musa and K. Okumoto. A logarithamic Poisson execution time model for software reliability measurement 7th international conference on Software Engineering(ICSE),1984, pp. 230-238.
  16. H. Pham, Software Reliability Spriner-Veriag , 2000.
  17. Z. Jelinski and P.B. Moranda, Software Reliability research, in Stastistical Computer Performance Evaluation, W. Freiberger, Ed. New York: Academic Press, 1972, pp.465-484.
  18. B. Littlewood and J.L. Verrall, A Bayesian reliability growth model for computer software, Applied Stastistics, Vol 22, 1973, pp 332-346.
  19. A. L. Goel and K. Okumoto, A time-dependent error-detection rate model for software reliability and other performance measure, IEEE Transactions on Reliability, vol. R-28, 1979, pp. 206-211.
  20. http://www.debian.org
Index Terms

Computer Science
Information Sciences

Keywords

Failure rate hardware reliability software