info@ijrst.com

+919555269393

Track Article

Upload Article

IJRST
About
About IJRST Editorial Board Reviewers Advisory Board Call for Papers Subject Areas Indexing
For Author
Peer Review Guidelines Instruction for Authors Submission Process Manuscript Withdrawal Article Processing Charge Invitation for Reviewers Review Process Article Workflow
Policies
Open Access Policy Review Policy Publication Ethics Article Correction Policy Plagiarism Policy Conflict of Interest Policy
Archive
Past Issues Current Issue
Download
Paper Template Copyright Form Cover Page AIU Prospectus
Certificate FAQ Contact Upload Article Track Article

Details

Swarm Intelligence Algorithm: Developing a Social Spider to Enhance the Efficacious Selectivity of Software Reliability Growth Models

Gatik Gola

Student, King’s College, Taunton, UK

82-100

Vol: 8, Issue: 2, 2018

Receiving Date: 2018-03-02 Acceptance Date:

2018-05-06

Publication Date:

2018-05-25

Download PDF

Abstract

Software Reliability is considered to be an essential part of software systems; it involves measuring the system’s probability of having failures; therefore, it is strongly related to Software Quality. Software Dependability Growing Models indicate the number of possible failures after the completion of the software; it is also an indicator of the software readiness to be delivered. I, hereby, present a study of selecting the best Software Reliability Growth Model according to the dataset at hand. Several Comparison Criteria are used to yield a ranking methodology to be used in pointing out best models. The Social Spider Algorithm (SSA), one of the newly introduced Swarm Intelligent Algorithms, is used for estimating the parameters of the SRGMs for two datasets. Results indicate that the use of SSA was efficient in assisting the process of criteria weighting to find the optimal model and the best overall ranking of employed models.

Keywords: Software Reliability; SRGMs; Models Ranking; Weighted Criteria; Social Spider Algorithm.

References

  1. [1] Bidhan, K. and Awasthi, A. 2014. A Review on Parameter Estimation Techniques of Software Reliability Growth Models, International Journal of Computer Applications Technology and Research, Vol.(3), No.(4) pp:267– 272.
  2. Kaur,R. and Panwar,P. 2015. Study of Perfect and Imperfect Debugging NHPP SRGMs used for Prediction of Faults in a Software, IJCSC, available online at www.csjournalss.com.Vol. (6), No.(1), pp:73-78.
  3. Berkun,S. 2005. The Art of Project Management (Theory in Practice),1st Ed, O'Reilly Media, PP:488.
  4. Al-Rahamneh,Z., Reyalat,M., Sheta,A. F., Bani-Ahmad,S. and Al-Oqeili, S. 2011. A New Software Reliability Growth Model: Genetic-Programming-Based Approach, Journal of Software Engineering and Applications, Vol.(4), No.(8), pp:476-481.
  5. Wohlin,C., Höst,M., Runeson, P. and Wesslén,A. 2001.Software Reliability, in Academic Press. Meyers, R. Encyclopedia of Physical Sciences and Technology (3rdEdition), pp:25-39.
  6. Alweshah,M.,Ahmed, W. and Aldabbas, H. 2015. Evolution of Software Reliability Growth Models: A Comparison of Auto-Regression and Genetic Programming Models, International Journal of Computer Applications. Vol.(125), No.(3), pp:20-25.
  7. Anjum,M., Haque,M. A. and Ahmad,N. 2013. Analysis and Ranking of Software Reliability Models Based on Weighted CriteriaValue, I.J. Information Technology and Computer Science, Vol.(5), No.(2), pp:1-14.
  8. Aggarwal,G. and Gupta,V. K. 2014. Software Reliability Growth Model. International Journal of Advanced Research in Computer Science and Software Engineering, Vol.(4), No.(1), pp:475-479.
  9. Weiss, R. M. 2010. GPU-Accelerated Data Mining with Swarm Intelligence, Honors Thesis, Department of Computer Science, Macalester College, pp:1-88.
  10. Liu,H.,Abraham,A. and Clerc, M. 2007. Chaotic dynamic characteristics in swarm intelligence. Science Direct, Applied Soft Computing, Vol.(7), No.(3), pp:1019–1026.
  11. Kaswan,S. K., Choudhary,S. and Sharma,K. 2015. Software Reliability Modeling using Soft Computing Techniques: Critical Review, I.J. Information Technology and Computer Science, Vol.(07), No.(7), pp:90-101.
  12. Stringfellow,C. and Andrews, A. A. 2002. An Empirical Method for Selecting Software Reliability Growth Models, Empirical Software Engineering, Vol.(7), No.(4), pp:319-343.
  13. Kharchenko,V., Tarasyuk, O., Sklyar,V. and Dubnitsky,V. 2002. The Method of Software Reliability Growth Models Choice Using Assumptions Matrix, Proceedings of the 26th Annual International Computer Software and Applications Conference (COMPSAC’02).
  14. Sheta, A. 2006. Reliability Growth Modeling for Software Fault Detection Using Particle Swarm Optimization, IEEE Congress on Evolutionary Computation Sheraton Vancouver Wall Centre Hotel, Vancouver, BC, Canada, pp:3071- 3078.
  15. Garg,R., Sharma,K., Kumar,R. and Garg,R. K. 2010. Performance Analysis of Software Reliability Models using Matrix Method. International Journal of Electrical and Computer Engineering,Vol.(5), No.(2), pp:113-120.
  16. Sharma,K., Garg,R., Nagpal,C. K. and Garg,R. K. 2010. Selection of Optimal Software Reliability Growth Models Using a Distance Based Approach. IEEE Transactions On Reliability, Vol.(59). No.(2), pp:266-276.
  17. Sharma,T. K., PantM. and Abraham, A. 2011. Dichotomous Search in ABC and its Application in Parameter Estimation of Software Reliability Growth Models. Nature and Biologically Inspired Computing(NaBIC), Third World Congress, IEEE, pp:207-212.
  18. Shanmugam,L. and Florence,L. 2012. A Comparison of Parameter best Estimation Method for Software Reliability Models”. International Journal of Software Engineering & Applications, Vol.(3), No.(5), pp:91-102.
  19. Miglani,N. 2014. On the Choice of an Appropriate Software Reliability Growth Model. International Journal of Computer Applications, Vol.(87), No.(9), pp:18-24.
  20. Sheta,A. and Abdel-Raouf, A. 2016. Estimating the Parameters of Software Reliability Growth Models Using the Grey Wolf Optimization Algorithm. International Journal of Advanced Computer Science and Applications, Vol.(7), No.(4), pp:499-505.
  21. Saxena,S., Choudhary,D. and Gupta,A. 2014. Software Reliability Growth Model with Efficient Debugging Involving Time Dependent Fault Content Function”. I. J.of Computer Applications, Vol.(87), No.(10), pp:56-58.
  22. Jelinski,Z. and Moranda,P. 1972.Software reliability research”. in Statistical Computer Performance Evaluation, W. Freiberger, ED., Academic Press, New York, pp:465-484.
  23. Yua,J. J. Q. and Lia, V. O. K. 2015. A Social Spider Algorithm for Global Optimization. Elsevier Applied Soft Computing, Vol.(30), pp:614-627.
  24. Yua,J. J. Q. and Lia,V. O. K. 2016. A Social Spider Algorithm for Solving the Non-convexEconomic Load Dispatch Problem.ElsevierNeurocomputing, Vol. (171), No.(C), pp:955-965.
  25. Yua,J. J. Q. and Lia,V. O. K. 2015. Parameter Sensitivity Analysis of Social Spider Algorithm. IEEE Congress on Evolutionary Computation, CEC 2015–Proceedings, pp:3200 –3205.
  26. Pham, H.2007. An Imperfect-debugging Fault-detection Dependent-parameter Software. International Journal of Automation and Computing, Vol.(4),No.(4), pp:325-328.
  27. Huang,C.-Y, Kuo,S.-Y. and Michael,R. L. 2007. “An Assessment of Testing-Effort Dependent Software Reliability Growth Models”. IEEE Transactions On Reliability, Vol.(56), No.(2), pp:198-211.
Back

Disclaimer: Indexing of published papers is subject to the evaluation and acceptance criteria of the respective indexing agencies. While we strive to maintain high academic and editorial standards, International Journal of Research in Science and Technology does not guarantee the indexing of any published paper. Acceptance and inclusion in indexing databases are determined by the quality, originality, and relevance of the paper, and are at the sole discretion of the indexing bodies.

We are one of the best in the field of watches and we take care of the needs of our customers and produce replica watches of very good quality as per their demands.

Our Head Office

Aryavart International University
Mission Tilla, Dharmanagar, North Tripura, India

+91-9555269393

info@ijrst.com

Quick Links

Plagiarism Policy Current Issue Certificate Reviewers FAQs Our Journals

Indexing

© IJRST, All Right Reserved.

Designed By Krrypto