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Software Reliability Estimation Models: A Comparative Analysis

by Feroza Haque, Sanjay Bansal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 13
Year of Publication: 2012
Authors: Feroza Haque, Sanjay Bansal
10.5120/6164-8573

Feroza Haque, Sanjay Bansal . Software Reliability Estimation Models: A Comparative Analysis. International Journal of Computer Applications. 43, 13 ( April 2012), 27-31. DOI=10.5120/6164-8573

@article{ 10.5120/6164-8573,
author = { Feroza Haque, Sanjay Bansal },
title = { Software Reliability Estimation Models: A Comparative Analysis },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 43 },
number = { 13 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 27-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume43/number13/6164-8573/ },
doi = { 10.5120/6164-8573 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:33:19.646435+05:30
%A Feroza Haque
%A Sanjay Bansal
%T Software Reliability Estimation Models: A Comparative Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 13
%P 27-31
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Software reliability is the ability of the software to perform its specified function under some specific condition. Reliability can be associated with both hardware and software. The hardware reliability can easily be evaluated since hardware get wear out but in case of software it be very difficult. In fact we can't determine or predict the actual reliability of the software by using some specified parameter. The paper summarized the performance of different reliability models till been designed and also reflect the different relationship that exist between different parameters. The paper will also introduce the concept of neural network which is been considered as one of the efficient technique been used for estimation or prediction. Generally unsupervised learning technique is been used for generalizing new optimizing technique. So if we use neural network for calculating the software reliability then it may be possible for us to predict the reliability more effectively.

References
  1. "Neural Network, Fuzzy Logic , Genetic Algorithm:Systhesis and application by S Rajshekharan and GA Vijayalakhmi Pai".
  2. "Software Engineering"By KK Agarwal and Yogesh Singh.
  3. Musa JD " Validility of the Execution time theory of Software Reliability "IEEE trans on Reliability R-283) pp 181-191 Aug1979
  4. Belli F and Jedrcejowicz P "An approach to the reliability Optimization of Software with Redundancy"IEEE trans on software engineering.
  5. Y. S. Su, C. Y. Huang and Y. S. Chen, "An Artificial Neural-Network Based Approach to Software Reliability Assessment," Proceedings of IEEE Region 10 Conference, Melbourne, 21-24 November 2005, pp. 1-6.
  6. Jelinski Z and Moranda "Software reliability research "in statistical computer performance evaluation.
  7. A. L. Goel and K. Okumoto, "Time Dependent Error De-tection Rate Model for Software Reliability and Other Performance Measure," IEEE Transactions on Reliability, Vol. 3, 1992, pp. 206-211.
  8. A Comparative Analysis of Open Source Software ReliabilityCobra Rahmani, Azad Azadmanesh and Lotfollah Najjar College of Information Science & TechnologyJOURNAL OF SOFTWARE, VOL. 5, NO. 12, DECEMBER 2010
  9. Jelinski – Moranda Model for Software Reliability Prediction and its G. A. based Optimised Simulation Trajectory Sona Ahuja, Guru Saran Mishra and Agam Prasad Tyagi D. E. I. Dayalbagh, Agra, 2002, pp. 399-404. .
  10. S. Yamada and Y. Tamura, "A Flexible Stochastic Dif-ferential Equation Model in Distributed Development En-vironment," European Journal of Operational Research, Vol. 168, No. 1, 2006, pp. 143-152.
  11. Exploration for Software Reliability using Neural Network-Based Classification method Chitra S, Madhusudhanan B , Rajaram M International Journal of Machine Intelligence, ISSN: 0975–2927, Volume 1, Issue 2, 2009, pp- 10-13
  12. N. Karunanithi and Y. K. Malaiya, "The Scaling Problem in Neural Networks for Software Reliability Prediction," Proceedings of the 3rd International IEEE Symposium of Software Reliability Engineering, Los Alamitos, 7-10 Oc- tober 1992, pp. 76-82.
  13. N. Karunanithi, Y. K. Malaiya and D. Whitley, "Predic-tion of Software Reliability Using Neural Networks," Proceedings of the 2nd IEEE International Symposium on Software Reliability Engineering, Los Alamitos, 17-18 May 1991, pp. 124-130.
  14. N. Karunanithi, D. Whitley and Y. K. Malaiya, "Using Neural Networks in Reliability Prediction," IEEE Soft-ware, Vol. 9, No. 4, 1992, pp. 53-59.
  15. K. Y. Cai, L. Cai, W. D. Wang, Z. Y. Yu and D. Zhang, "On the Neural Network Approach in Software Reliability Modeling," The Journal of Systems and Software, Vol. 58, No. 1, 2001, pp. 47-62.
  16. S. A. Sherer, "Software Fault Prediction," Journal of Sys-tems and Software, Vol. 29, No. 2, 1995, pp. 97-105.
  17. T. M. Khoshgoftar and R. M. Szabo, "Using Neural Net-works to Predict Software Faults during Testing," IEEE Transactions on Reliability, Vol. 45, No. 3, 1996, pp.
  18. Eckhardth D. E et al "An experimental Evaluation of Software redundancy as a strategy for improving reliability" IEEE trans on software engineering
  19. P. K. Kapur, S. K. Khatri, M. Basirzadeh and N. Dembla, "Modeling Software Reliability Growth in Distributed Environment Using Artificial Neural-Networks," In: S. K. Khatri and B. Kumar, Eds. , Proceedings of International Conference on Reliability, Infocom Technology and Op-timization, Faridabad, 1-3 November 2010, pp. 372-382.
  20. P. K. Kapur, S. K. Khatri and D. N. Goswami, "A Gener-alized Dynamic Integrated Software Reliability Growth Model Based on Neural-Network Approach," Proceed-
Index Terms

Computer Science
Information Sciences

Keywords

Reliability Reliability Model Estimation Neural Network

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