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

An Improved Computational Software Reliability Model using ANFIS

by Shubhi Bhardwaj, Amit Sinha
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 114 - Number 16
Year of Publication: 2015
Authors: Shubhi Bhardwaj, Amit Sinha
10.5120/20060-2090

Shubhi Bhardwaj, Amit Sinha . An Improved Computational Software Reliability Model using ANFIS. International Journal of Computer Applications. 114, 16 ( March 2015), 7-9. DOI=10.5120/20060-2090

@article{ 10.5120/20060-2090,
author = { Shubhi Bhardwaj, Amit Sinha },
title = { An Improved Computational Software Reliability Model using ANFIS },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 114 },
number = { 16 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 7-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume114/number16/20060-2090/ },
doi = { 10.5120/20060-2090 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:52:55.156004+05:30
%A Shubhi Bhardwaj
%A Amit Sinha
%T An Improved Computational Software Reliability Model using ANFIS
%J International Journal of Computer Applications
%@ 0975-8887
%V 114
%N 16
%P 7-9
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Software reliability is an important attribute of software engineering to ensure the success of software. Software reliability is the probability that there will no failure for a specified time. The reliability of the software depends on various attributes of software such as Size of software, Number of failures and Total time. These data sets of known software follow a specific trend which needs to be studied. The present work collects and analyzes these data sets. The training of these data sets is done through ANFIS. The relative error at definite epochs is noted. The software to be tested is then passed to same network that will give the desired result.

References
  1. Mohanthy, R. ; Naik, V. ; Mubeen, A. , "Software Reliability Prediction by Using Ant Colony Optimization Technique," Communication Systems and Network Technologies (CSNT), 2014 Fourth International Conference on , vol. , no. , pp. 496,500, 7-9 April 2014.
  2. Dongliang Yuan; Chenchen Zhang, "Evaluation strategy for software eliability based on ANFIS," electronics a communications and Control (ICECC), 2011 International Conference on , vol. , no. , pp. 3738,3741, 9-11 Sept. 2011
  3. https://sw. csiac. org/databases/sled/swrel. php
  4. Kun Han, Jun-Hai Cao, Shou-Hua Chen, Wei-Wei Liu" A Software Reliability Prediction Method Based on Software Development Process", 2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE).
  5. Khyati M. Mewada, Amit Sinhal and Bhupendra Verma" Adaptive Neuro-Fuzzy Inference System (ANFIS) Based Software Evaluation ",IJCSI International Journal of Computer Science Issues, Vol. 10, Issue 5, No 1, September 2013. of Advanced Research in Computer Science and Software Engineering,Volume 2, Issue 10, October 2012
  6. Lawrence Bernstein, C. M. Yuhas, "Design Constraints That Make Software Trustworthy", IEEE-2008.
  7. D. Raheja, L. Gullo, "Developing reliable tools", IEEE-2012.
  8. Ivano Irrera, Joao Duraes, Marco Vieira," On the need for training Failure Prediction algorithms in evolving software systems" 2014 IEEE 15th International Symposium on High-Assurance Systems Engineering
Index Terms

Computer Science
Information Sciences

Keywords

Software Reliability ANFIS

Powered by PhDFocusTM