Volume 11 Number 7 (Jul. 2016)
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JSW 2016 Vol.11(7): 656-663 ISSN: 1796-217X
doi: 10.17706/jsw.11.7.656-663

Test Case Reduction Using Data Mining Classifier Techniques

Ahmad A. Saifan*
Department of Computer Information Systems, Faculty of Information Technology and Computer Sciences, Yarmouk University, Irbid, Jordan.

Abstract—The main purpose of test case reduction is to decrease the number of test cases in order to minimize the time and cost of executing them. We used the data mining approach, mainly because of its ability to extract patterns of test cases that are invisible. In this paper, we use two data mining classifiers, Naïve based and J48, in order to classify a set of test cases and identify which test case is redundant or irredundant. The results show the applicability of data mining classification in removing the number of redundant test cases.

Index Terms—Software testing, test case reduction, redundant test cases, naïve based classifier, J48 classifier.


Cite: Ahmad A. Saifan, "Test Case Reduction Using Data Mining Classifier Techniques," Journal of Software vol. 11, no. 7, pp. 656-663, 2016.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly 
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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