CFP last date
20 May 2024
Reseach Article

Software Reliability Estimation using Yamada Delayed S Shaped Model under Imperfect Debugging and Time Lag

by Dr. Ajay Gupta, Dr. Digvijay Choudhary, Dr. Suneet Saxena
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 23 - Number 7
Year of Publication: 2011
Authors: Dr. Ajay Gupta, Dr. Digvijay Choudhary, Dr. Suneet Saxena
10.5120/2985-3792

Dr. Ajay Gupta, Dr. Digvijay Choudhary, Dr. Suneet Saxena . Software Reliability Estimation using Yamada Delayed S Shaped Model under Imperfect Debugging and Time Lag. International Journal of Computer Applications. 23, 7 ( June 2011), 49-52. DOI=10.5120/2985-3792

@article{ 10.5120/2985-3792,
author = { Dr. Ajay Gupta, Dr. Digvijay Choudhary, Dr. Suneet Saxena },
title = { Software Reliability Estimation using Yamada Delayed S Shaped Model under Imperfect Debugging and Time Lag },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 23 },
number = { 7 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 49-52 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume23/number7/2985-3792/ },
doi = { 10.5120/2985-3792 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:09:35.155076+05:30
%A Dr. Ajay Gupta
%A Dr. Digvijay Choudhary
%A Dr. Suneet Saxena
%T Software Reliability Estimation using Yamada Delayed S Shaped Model under Imperfect Debugging and Time Lag
%J International Journal of Computer Applications
%@ 0975-8887
%V 23
%N 7
%P 49-52
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Reliability of software has been analyzed using some existing mathematical models often termed as software reliability growth models(SRGM). We have considered Yamada Delayed S shaped model and incorporated the fault dependency, debugging time lag and imperfect debugging . Results shows that reliability of software gets improved under imperfect debugging.

References
  1. Goel, A. L. & Yang, K. J. (1997). Software reliability and readiness assessment based on the non-homogenous Poisson process, Advances in Computers, 45, 197-267.
  2. Hung, C. Y., Lyu, M. R. & Kuo, S. Y. (2003).A unified scheme of some non-homogeneous poisson process models for software reliability estimation, IEEE Trans. on Software Engineering 29(3), 261-269.
  3. Hung, C. Y. & Lin, C. T. (2006).Software reliability analysis by considering fault dependency and debugging time lag, IEEE Trans. on Reliability, 55(3), 436-450.
  4. Hung, C. Y., Lin, C. T., Kuo, S. Y., Lyu, M. R. & Sue, C. C. (2004).Software reliability growth models incorporating fault dependency with various debugging time lags, Proceedings of the 28th Annual International Computer Software and Application Conference, Hong Kong, China, 186-191.
  5. Hung, C. Y., Lin, C. T., Lo, J. H. & Sue, C. C. (2004). Effect of fault dependency and debugging time lag on software error models, Proceedings of the 2004 IEEE Region 10 Conference, Thailand, 243-246.
  6. Lyu, M. R. (1993) .Handbook of Software Reliability Engineering : McGraw-Hill.
  7. Ohba, M. (1984). Software reliability analysis models, IBM Journal of Research and Development, 28(4), 428-443.
  8. Ohba, M. & Chou, X. (1989). Does imperfect debugging affect software reliability growth, Proceedings of the 11th International Conference on Software Engineering, Pittsburgh, USA, 237-244.
  9. Yamada, S., Tokunou, K. & Osaki, S. (1992). Imperfect debugging models with fault introduction rate for software reliability assessment, International Journal of System Science, 23( 12), 2241-2252.
  10. Yang, K. Z. (1996). An infinite server queuing model for software readiness and related performance measures, Ph.D. Dissertation, Department of Electrical Engineering and Computer Science, Syracuse University.
  11. Xie, M. & Yang, B. (2003). A study of the effect of imperfect debugging on software development cost, IEEE Trans. Software Engineering, 29( 5) ,471-473.
Index Terms

Computer Science
Information Sciences

Keywords

Software Reliability Imperfect debugging Debugging time lag fault dependency