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An Efficient Approach for Test Suite Reduction using Density based Clustering Technique

by Rashi Chauhan, Pooja Batra, Sarika Chaudhary
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 11
Year of Publication: 2014
Authors: Rashi Chauhan, Pooja Batra, Sarika Chaudhary
10.5120/17048-6276

Rashi Chauhan, Pooja Batra, Sarika Chaudhary . An Efficient Approach for Test Suite Reduction using Density based Clustering Technique. International Journal of Computer Applications. 97, 11 ( July 2014), 1-4. DOI=10.5120/17048-6276

@article{ 10.5120/17048-6276,
author = { Rashi Chauhan, Pooja Batra, Sarika Chaudhary },
title = { An Efficient Approach for Test Suite Reduction using Density based Clustering Technique },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 11 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number11/17048-6276/ },
doi = { 10.5120/17048-6276 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:23:48.715507+05:30
%A Rashi Chauhan
%A Pooja Batra
%A Sarika Chaudhary
%T An Efficient Approach for Test Suite Reduction using Density based Clustering Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 11
%P 1-4
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Density based clustering technique groups similar data objects based on density. In this paper, a methodology has been proposed based on density based clustering technique in order to remove redundant test cases so that time wasted in testing unnecessary test cases can be reduced. Experiments show that how our technique can significantly reduced test suite.

References
  1. Lilly Rameesh and G. V. Uma, "Reliable Mining of Automatically Generated Test Cases", IJCSI International Journal of Computer Science Issues, Volume 7, Issue 1, January 2010.
  2. Lilly Rameesh and G. V. Uma, "An Efficient Reduction Method For Test Cases", International Journal of Engineering Science and Technology, Volume 2, Issue 11, January 2010.
  3. Kartheek Muthyala et. al. , "A Novel Approach To Test Suite Reduction Using Data Mining", Indian Journal of Computer Science and Engineering(IJCSE),Volume2,Issue 3,July 2011.
  4. Ying Huang and Lu Lu, "A Methodology for Test Suit Reduction in User session-based Testing",IEEE,2010.
  5. Yasser El-Sonbaty et. al. ,"An Efficient Density Based Clustering Algorithm for Large Databases",IEEE 2004.
  6. B. Borah and D. K. Bhaftacharyya, "A Clustering Technique using Density Difference", IEEE - ICSCN 2007, MIT Campus, Anna University, Chennai, India. Feb. 22-24, 2007. pp. 585-588.
  7. Md. Asikur Rahman et. al. , "Density Based Clustering Technique For Efficient Data Mining",IEEE 2008
  8. R. Robu et. al. ,"Arff Convertor Tool for WEKA Data Mining Software",IEEE 2010.
  9. Bin Jiang et. al. ,"Clustering Uncertain Data Based on Probability Distribution Similarity", IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 25, NO. 4, APRIL 2013 751.
  10. Dianxiang Xu et. al. ,"Mining Executable Specifications of Web Applications from Selenium IDE Tests", 2012 IEEE Sixth International Conference on Software Security and Reliability.
  11. Glory H. Shah, "An Improved DBSCAN, A Density Based Clustering Algorithm with Parameter Selection for High Dimensional Data Sets", 2012 NIRMA UNIVERSITY INTERNATIONAL CONFERENCE ON ENGINEERING, NUiCONE-2012, 06-08DECEMBER, 2012
  12. Chetan Dharni et. al. , "An Improvement of DBSCAN Algorithm to AnalyzeCluster for Large Datasets",IEEE 2013
  13. Remco R. Bouckaert, "Weka Manual 3-6-1",Software manual,June 4,2009,pp-11-14
  14. Jiawei Han, Micheline Kamber, Jian Pei ,"Data Mining Concepts and Techniques", third edition, 2012
Index Terms

Computer Science
Information Sciences

Keywords

Test case Test suite Clustering Selenium Weka Redundant

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