CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Conceptual Software Reliability Model using Neural Network

by Meenu, Sumeet
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 109 - Number 14
Year of Publication: 2015
Authors: Meenu, Sumeet
10.5120/19253-0950

Meenu, Sumeet . Conceptual Software Reliability Model using Neural Network. International Journal of Computer Applications. 109, 14 ( January 2015), 1-7. DOI=10.5120/19253-0950

@article{ 10.5120/19253-0950,
author = { Meenu, Sumeet },
title = { Conceptual Software Reliability Model using Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 109 },
number = { 14 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume109/number14/19253-0950/ },
doi = { 10.5120/19253-0950 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:44:45.648918+05:30
%A Meenu
%A Sumeet
%T Conceptual Software Reliability Model using Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 109
%N 14
%P 1-7
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Reliability is the one of the most important attribute of the software for customer satisfaction. It is big challenge for the software development organizations to achieve the reliability of the software. Since research on software reliability is being carried out for last three decades and various software reliability models have been developed. These models calculate the reliability of the software and help to take decision to deploy the software or continue the testing process to meet the reliability objective. The models used so far, worked on the basis of some conventions which must be made before the beginning of the project like software development environment, the nature of software failures, the probability of individual failures. Recent research in the field of the Neural Network can also be applied to calculate the software reliability. The best thing to use Neural Network is to calculate the reliability without making any basic assumptions. In this paper, a conceptual model is proposed to develop the software reliability model using the approach of Neural Network.

References
  1. Lyu, M. R. ,Handbook of Software Reliability Engineering.
  2. Musa, John D. , Software Reliability Engineering: More Reliable Software Faster and Cheaper, 2nd Edition.
  3. Rita G. Al gargoor, Nada N. Saleem , Software Reliability Prediction Using Artificial Techniques, IJCSI International Journal of Computer Science Issues, Vol. 10, Issue 4, No 2, July 2013
  4. Almering V. , Genuchten M. V, and Cloudt G. , "Using Software Reliability Growth Models in Practice" IEEE computer society, 2007, pp. 82 – 88.
  5. Changjie Ma, Guochang Gu, Jing Zhao, Improved Neural Network based on Dynamic Predication Model of Software Reliability, Journal of Convergence Information Technology, Volume6, Number7, July 2011.
  6. Al-Rahamneh Z. , Reyalat M. Sheta A. F. , Bani-Ahmad S. , and Al-Oqeili S. , "A New Software Reliability Growth Model: Genetic-Programming-Based Approach" , Journal ofSoftware Engineering and Applications, 2011, pp. 476-481
  7. Haque F. , and Bansal, S. "Software Reliability estimationModels: A Comparative Analysis" , InternationalJournal of Computer Applications, Vol. 43,2012, pp. 27 – 31
  8. Karunanithi, N. , Whitley, D. , & Malaiya, Y. K. (1992a), Using neural networks in reliability prediction. IEEE Software, 9, 53–59.
  9. Quadri S. M. , Ahmad N. ,and Farooq S. U. " SoftwareReliability Growth Modeling With GeneralizedExponential Testing –Effort And Optimal Software ReleasePolicy" , Global Journal of Computer Science andTechnology , 2011, pp. 27 – 42.
  10. Lyu, M. R. ,Handbook of Software Reliability Engineering.
  11. Karunanithi, N. , Whitley, D. , & Malaiya, Y. K. (1992a), Using neural networks in reliability prediction. IEEE Software, 9, 53–59.
  12. Karunanithi, N, et al. , "Prediction of software reliability using neural networks," Proceedings IEEE International Sym. Software Reliability Engineering, pp. 124-130, 1991.
  13. Karunanithi, N. , Whitley, D. , & Malaiya, Y. K. (1992b). Prediction of software reliability using connectionist models, IEEE Transactions on Software Engineering, 18, 563–574.
  14. Khalaf Khatatneh, Thaer Mustafa, Software Reliability Modeling using Soft Computing Technique, European Journal of Scientific Research, Vol 26 No 1(2009), pp 154-160.
  15. Karunanithi, N, et al. , "Prediction of software reliability using neural networks," Proceedings IEEE International Sym. Software Reliability Engineering, pp. 124-130, 1991
Index Terms

Computer Science
Information Sciences

Keywords

Software Reliability Software Reliability Growth Models Neural Network.

Powered by PhDFocusTM