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Application of Goel-Okumoto Model in Software Reliability Measurement

Published on November 2012 by Pankaj Nagar, Blessy Thankachan
journal_cover_thumbnail

Issues and Challenges in Networking, Intelligence and Computing Technologies
Foundation of Computer Science USA
ICNICT - Number 5
November 2012
Authors: Pankaj Nagar, Blessy Thankachan
091d06c5-2770-4af7-8a00-7c03d9478cae

Pankaj Nagar, Blessy Thankachan . Application of Goel-Okumoto Model in Software Reliability Measurement. Issues and Challenges in Networking, Intelligence and Computing Technologies. ICNICT, 5 (November 2012), 1-3.

@article{
author = { Pankaj Nagar, Blessy Thankachan },
title = { Application of Goel-Okumoto Model in Software Reliability Measurement },
journal = { Issues and Challenges in Networking, Intelligence and Computing Technologies },
issue_date = { November 2012 },
volume = { ICNICT },
number = { 5 },
month = { November },
year = { 2012 },
issn = 0975-8887,
pages = { 1-3 },
numpages = 3,
url = { /specialissues/icnict/number5/9440-1007/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Issues and Challenges in Networking, Intelligence and Computing Technologies
%A Pankaj Nagar
%A Blessy Thankachan
%T Application of Goel-Okumoto Model in Software Reliability Measurement
%J Issues and Challenges in Networking, Intelligence and Computing Technologies
%@ 0975-8887
%V ICNICT
%N 5
%P 1-3
%D 2012
%I International Journal of Computer Applications
Abstract

The estimation of remaining errors in the software is the deciding factor for the release of the software or the amount of more testing which is required. Software growth reliability models are used for the correct estimation of the remaining errors. In this paper the Goel-Okumoto Model has been selected and its various parameters are discussed with a case study. A criterion has also been evaluated for the estimation of reliability of any software.

References
  1. C Stringfellow, A Amschler Andrews "An empirical method of selecting software reliability growth models", Empirical Software Engineering, 7, 319–343, 2002. 2 Kluwer Academic Publishers. Manufactured in The Netherlands.
  2. J. D. Musa, K. Okumoto, "A logarithmic Poisson execution time model for software reliability measurement", Proc. 7th International Conference o_nn Software Engineering, Orlando, Florida, March 26-29, 1984, pp. 230-238.
  3. Alan Wood "Software Reliability Growth Models", Technical Report, Part Number 130056, September 1996
  4. Reinhold Nafe 1 , Wolfgang Schlote, "Methods for Shape Analysis of two-dimensional closed Contours - A biologically important, but widely neglected Field in Histopathology" Electronic Journal of Pathology and Histology Volume 8. 2; June 2002
  5. John D Musa, Kazuhira Okumoto "Application of basic and logarithmic poisson execution time models in software reliability measurement", Proceeding Software Reliability Modelling and Identification, Springer-Verlag London, UK ©1988, ISBN:3-540-50695-0
  6. http://en. wikipedia. org/wiki/Software A. Wood, "Predicting Software Reliability," IEEE Computer, vol. 29, no. 11, (November 1996), pp. 69 78.
Index Terms

Computer Science
Information Sciences

Keywords

Calendar Time Residual Errors Reliability Factor Roundness Factor