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Fault Detection Techniques Prioritization using Bee Colony Optimization and then Comparison with Ant Colony Optimization

by Mandeep Kaur Bedi, Sheena Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 17
Year of Publication: 2013
Authors: Mandeep Kaur Bedi, Sheena Singh
10.5120/12062-8077

Mandeep Kaur Bedi, Sheena Singh . Fault Detection Techniques Prioritization using Bee Colony Optimization and then Comparison with Ant Colony Optimization. International Journal of Computer Applications. 69, 17 ( May 2013), 16-20. DOI=10.5120/12062-8077

@article{ 10.5120/12062-8077,
author = { Mandeep Kaur Bedi, Sheena Singh },
title = { Fault Detection Techniques Prioritization using Bee Colony Optimization and then Comparison with Ant Colony Optimization },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 17 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 16-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number17/12062-8077/ },
doi = { 10.5120/12062-8077 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:30:31.010444+05:30
%A Mandeep Kaur Bedi
%A Sheena Singh
%T Fault Detection Techniques Prioritization using Bee Colony Optimization and then Comparison with Ant Colony Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 17
%P 16-20
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Research in software testing has experienced a significant growth in recent years. One topic of special interest is fault detection techniques to reduce human interference and detect maximum faults. Priority is given to these techniques so that only higher priority techniques should be used instead of using individual techniques of lower priority. Bee Colony Optimization based upon natural phenomena algorithm is used in it to find out the best results. The work presented in this paper expresses the idea of implementing of fault detection techniques to provide them priority using bee colony optimization and ant colony optimization and then compare their results with ant colony optimization. The results shows bee colony optimization is better than ant colony optimization and consume less time as compare to manual process.

References
  1. http://www. buzzle. com/articles/software-testing-techniques. html
  2. Shivkumar Hasmukhrai Trivedi, "Software Testing Technique", International Journal of Advanced Research in Computer Science and Software Engg 2 (10), October- 2012, pp. 433-438
  3. Meenakshi Vanmali, Mark Last, Abraham Kandel, " Using a Neural network In Software Testing" in 2000
  4. Praveen Ranjan Srivastava, Sirish Kumar1, A. P. Singh, G. Raghurama, "Software testing Effort: An Accessment Through Fuzzy Criteria Approch", Journal of Uncertain Systems Vol. 5, No. 3, pp. 183-201, 2011
  5. Jovanovic Irena, "Software testing methods and techniques".
  6. Carina Andersson, Thomas Thelin, Per Runeson, Nina Dzamashvili, "An Experiment Evaluation of Inspection and Testing For detection of Design faults"
  7. Dr. Arvinder Kaur , Shivangi Goyal, "A Bee Colony Optimization Algorithm for Fault Coverage Based Regression Test Suite Prioritization" International Journal of Advanced Science and Technology Vol. 29, April, 2011
  8. Bharti Suri ,Shweta Singhal, "Implementing Ant Colony Optimization for Test Case Selection and Prioritization", International Journal on Computer Science and Engineering (IJCSE)
  9. Wei Liu_and Sanjay Chawla, "A Robust Decision Tree Algorithm for Imbalanced Data Sets"
  10. Mandeep Kaur Bedi, Sheena Singh, "Comparative study of two natural phenomena based optimization techniques", International Journal of Scientific & Engineering Research Volume 4, Issue3, March-2013 ISSN 2229-5518
  11. Xia Cai Michael R. Lyu, "The Effect of Code Coverage on Fault Detection under Different Testing Profiles"
  12. Stuart C. Reid, "An Empirical Analysis of Equivalence Partitioning Boundary Value Analysis and Random Testing"
  13. Sujun Hua and Zhirong Sun, "A Novel Method of Protein Secondary Structure Prediction with High Segment Overlap Measure:Support Vector Machine Approach" http://www. idealibrary. com on J. Mol. Biol. (2001) 308, 397±407
  14. http://www. enwikipedia. com
Index Terms

Computer Science
Information Sciences

Keywords

Bee Colony Optimization Ant Colony Optimization Fault Detection techniques

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