CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Burr Type XII Software Reliability Growth Model

by R.satya Prasad, K.v.murali Mohan, G.sridevi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 108 - Number 16
Year of Publication: 2014
Authors: R.satya Prasad, K.v.murali Mohan, G.sridevi
10.5120/18995-0452

R.satya Prasad, K.v.murali Mohan, G.sridevi . Burr Type XII Software Reliability Growth Model. International Journal of Computer Applications. 108, 16 ( December 2014), 16-20. DOI=10.5120/18995-0452

@article{ 10.5120/18995-0452,
author = { R.satya Prasad, K.v.murali Mohan, G.sridevi },
title = { Burr Type XII Software Reliability Growth Model },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 108 },
number = { 16 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 16-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume108/number16/18995-0452/ },
doi = { 10.5120/18995-0452 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:43:08.731227+05:30
%A R.satya Prasad
%A K.v.murali Mohan
%A G.sridevi
%T Burr Type XII Software Reliability Growth Model
%J International Journal of Computer Applications
%@ 0975-8887
%V 108
%N 16
%P 16-20
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Software Reliability Growth model (SRGM) is a mathematical model of how the software reliability improves as faults are detected and repaired. The development of many SRGMs over the last several decades have resulted in the improvement of software facilitating many engineers and managers in tracking and measuring the growth of reliability. This paper proposes Burr type XII based Software Reliability growth model with time domain data. The unknown parameters of the model are estimated using the maximum likelihood (ML) estimation method. Reliability of a software system using Burr type XII distribution, which is based on Non-Homogenous Poisson process (NHPP), is presented through estimation procedures. The performance of the SRGM is judged by its ability to fit the software failure data. How good does a mathematical model fit to the data is also being calculated. To access the performance of the considered SRGM, we have carried out the parameter estimation on the real software failure datasets.

References
  1. Kimura, M. , Yamada, S. , Osaki, S. , 1995. "Statistical Software reliability prediction and its applicability based on mean time between failures". Mathematical and Computer Modelling Volume 22, Issues 10-12, Pages 149-155.
  2. Ashoka, M. , (2010), "Sonata Software Limited" data set, Bangalore.
  3. Lyu, M. R. , (1996), "Handbook of Software Reliability Engineering", MCGraw-Hill, New York.
  4. Musa, J. D. , Iannino, A. , Okumoto, k. , 1987. "Software Reliability: Measurement Prediction Application". McGraw -Hill, New York.
  5. Hee-cheul Kim. , "Assessing Software Reliability based on NHPP using SPC", International Journal of Software Engineering and its Applications, vol. 7,No. 6 (2013), pp. 61-70.
  6. Pham. H. , 2003. "Handbook of Reliability Engineering", Springer.
  7. Pham. H. , 2006. "System software reliability", Springer.
  8. Swapna S. Gokhale and Kishore S. Trivedi, 1998. "Log-Logistic Software Reliability Growth Model". The 3rd IEEE International Symposium on High-Assurance Systems Engineering. IEEE Computer Society.
  9. Xie, M. , Goh. T. N. , Ranjan. P. , (2002) "Some effective control chart procedures for reliability monitoring" – Reliability engineering and System Safety 77 143 -150 ? 2002.
  10. Satya Prasad, R. , "Half logistic distribution for software reliability growth model", Ph. D thesis, 2007.
  11. Goel, A. L. , Okumoto, K. , 1979. Time-dependent error detection rate model for software reliability and other performance measures. IEEE Trans. Reliab. R-28, 206-211.
  12. Satya Prasad, R. , Shaheen. , Krishna Mohan, G. , "Two step Approach for Software reliability: HLSRGM", IJCTT-Volume 4 Issue 10-Oct 2013.
  13. Wood, A. , (1996), "Software Reliability Growth models", Tandem Computers, Technical report 96. 1.
  14. Quadri, S. M. K and Ahmad, N. , (2010), "Software Reliability Growth Modelling with new modified Weibull testing-effort and optimal release policy", International Journal of Computer Applications, Vol. 6, No. 12.
  15. Xie, M. , Yang, B. and Gaudoin, O. (2001), "Regression goodness-of-fit Test for Software reliability model validation ", ISSRE and Chillarege Corp.
Index Terms

Computer Science
Information Sciences

Keywords

Software Reliability Burr type XII distribution NHPP ML Estimation

Powered by PhDFocusTM