We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Numerical Analysis of Reliability and Availability of the Web based Software System

by Neeraj Kumar Sharma, Rajkumar Bhagat, Arun Prakash Agrawal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 19
Year of Publication: 2013
Authors: Neeraj Kumar Sharma, Rajkumar Bhagat, Arun Prakash Agrawal
10.5120/14276-9843

Neeraj Kumar Sharma, Rajkumar Bhagat, Arun Prakash Agrawal . Numerical Analysis of Reliability and Availability of the Web based Software System. International Journal of Computer Applications. 81, 19 ( November 2013), 52-59. DOI=10.5120/14276-9843

@article{ 10.5120/14276-9843,
author = { Neeraj Kumar Sharma, Rajkumar Bhagat, Arun Prakash Agrawal },
title = { Numerical Analysis of Reliability and Availability of the Web based Software System },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 81 },
number = { 19 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 52-59 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number19/14276-9843/ },
doi = { 10.5120/14276-9843 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:56:32.250679+05:30
%A Neeraj Kumar Sharma
%A Rajkumar Bhagat
%A Arun Prakash Agrawal
%T Numerical Analysis of Reliability and Availability of the Web based Software System
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 19
%P 52-59
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Today is the world of computers' tasks where least human interventions are required and the software behave like the brain for computers. A small error in the software sub-system can cause a failure in the complete system that leads to disastrous failures which differ in their impact depending on the operations of an organization. Therefore, the analysis of software systems for their reliability and availability is of great significance. Reliability & Availability are the two most important measures for evaluating the quality of the software system and represents user-oriented view of software quality. Now a days Web based software system are the most famous one with the dawn in internet technology. Presently almost every organization is using this software system. This paper describes the numerical analysis of reliability & availability of web based software system based on architecture.

References
  1. Reussner, R. H. , Schmidt, H. W. , Poernomo, I. H. : Reliability prediction for component-based software architectures. J. Systems Softw. , pp. 241–252, Vol. 66(3) (2003)
  2. Avizienis, A. , Laprie, J. C. , Randell, B. : Fundamental Concepts of Dependability. LAAS-CNRS, p. 21 (2001)
  3. Suri, P. K. and Bhushan Bharat : Reliability evaluation of web based software, International Journal of Computer Science and Network Security, pp. 151- 156 , Vol. 7(9) (2007)
  4. Lyu, M. R. , Software Reliability Engineering, A Roadmap, in proceedings of international conference on Future of Software Engineering, Washington, pp. 153-170 (2007)
  5. Goseva-Popstojanova, K. , Trivedi, K. S. : Architecture based approach to reliability assessment of software systems. Perform. Evaluat. , pp. 179-204, Vol. 45(2–3) (2001)
  6. Thomason, M. G. ,Whittaker, J. A. : Rare failure-state in a Markov chain model for software reliability. In Proceedings of the 10th International Symposium on Software Reliability Engineering. IEEE, Boca Raton, (1999)
  7. Grassi, V. : Architecture-based dependability prediction for service-oriented computing. In: Proceedings of the Twin Workshops on Architecting Dependable Systems, International Conference on Software Engineering (ICSE 2004). Springer, Edinburgh, (2004)
  8. ISO/IEC, Software Engineering - Product Quality. Part 1: Quality Model (2001)
  9. Suri, P. K. , Simulator for Risk assessment of software project based on performance measurement, International Journal of Computer Science and Network Security, pp. 23-30 Vol. 9(6) (2009)
  10. Taylor, R. and Vander, Hoek A. : Software Design and Architecture: The Once and Future Focus of Software Engineering, International conference on Future of Software Engineering , IEEE-CS Press, pp. 226-243 (2007)
  11. Yadav, A. and Khan R. A. , Critical review on software reliability models, International Journal of recent trends in Engineering, Vol. 2(3) pp. 114-116 (2009)
  12. Immonen, A. and Niemelä, E. : Survey of reliability and availability prediction methods from the viewpoint of software architecture,Software System Model, Springer-Verlag , pp. 49–65, Vol. 7 (2007)
  13. Gupta, Pawan, Lal, A. K. , Sharma, R. K. and Singh, Jai. : Numerical analysis of reliability and availability of the serial processes in butter-oil processing plant, International Journal of Quality and Reliability Management, pp. 303-316, Vol. 22(3), (2005)
  14. Taylor and Karlin: An Introduction to Stochastic Modeling, 3rd edition. Chapters 3-4.
  15. Ross: Introduction to Probability Models, 8th edition, Chapter 4.
  16. Kulkarni, V. G. : Chapter 2, Introduction to Modeling and Analysis of Stochastic Systems, Springer Texts in Statistics, DOI 10. 1007/978-1-4419-1772-0 2, Springer Science+Business Media, LLC 2011.
  17. Baresi, L. , Nitto, E. and Ghezzi C. : Toward Open-World Software: Issues and challenges, IEEE Computer, pp. 36-43, Vol. 39(10) (2006)
  18. Rodrigues, G. N. , Rosenblum, D. S. , Uchitel, S. : Using scenarios to predict the reliability of concurrent component-based software systems. In: 8th International Conference on Fundamental Approaches to Software Engineering, FASE 2005. Springer Lecture Notes in Computer Science, Edinburgh, (2005)
Index Terms

Computer Science
Information Sciences

Keywords

Reliability and availability analysis Software architecture Software component Markov process software quality