A Technique to Reduce the Test Case Suites for Regression Testing Based on a Self-Organizing Neural Network Architecture

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Adenilso da Silva Simao Articles by Rodrigo Fernandes de Mello Articles by Luciano Jose Senger

30th Annual International Computer Software and Applications Conference (COMPSAC'06)

Chicago, Illinois

September 17-September 21

ISBN: 0-7695-2655-1

	ASCII Text	x
	Adenilso da Silva Simao, Rodrigo Fernandes de Mello, Luciano Jose Senger, "A Technique to Reduce the Test Case Suites for Regression Testing Based on a Self-Organizing Neural Network Architecture," Computer Software and Applications Conference, Annual International, vol. 2, pp. 93-96, 30th Annual International Computer Software and Applications Conference (COMPSAC'06), 2006.

	BibTex	x
	@article{ 10.1109/COMPSAC.2006.103, author = {Adenilso da Silva Simao and Rodrigo Fernandes de Mello and Luciano Jose Senger}, title = {A Technique to Reduce the Test Case Suites for Regression Testing Based on a Self-Organizing Neural Network Architecture}, journal ={Computer Software and Applications Conference, Annual International}, volume = {2}, year = {2006}, issn = {0730-3157}, pages = {93-96}, doi = {http://doi.ieeecomputersociety.org/10.1109/COMPSAC.2006.103}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer Software and Applications Conference, Annual International TI - A Technique to Reduce the Test Case Suites for Regression Testing Based on a Self-Organizing Neural Network Architecture SN - 0730-3157 SP93 EP96 A1 - Adenilso da Silva Simao, A1 - Rodrigo Fernandes de Mello, A1 - Luciano Jose Senger, PY - 2006 KW - null VL - 2 JA - Computer Software and Applications Conference, Annual International ER -

Adenilso da Silva Simao, Universidade de Sao Paulo

Rodrigo Fernandes de Mello, Universidade de Sao Paulo

Luciano Jose Senger, Universidade Estadual de Ponta Grossa

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/COMPSAC.2006.103

This paper presents a technique to select subsets of the test cases, reducing the time consumed during the evaluation of a new software version and maintaining the ability to detect defects introduced. Our technique is based on a model to classify test case suites by using an ART-2A selforganizing neural network architecture. Each test case is summarized in a feature vector, which contains all the relevant information about the software behavior. The neural network classifies feature vectors into clusters, which are labeled according to software behavior. The source code of a new software version is analyzed to determine the most adequate clusters from which the test case subset will be selected. Experiments compared feature vectors obtained from all-uses code coverage information to a random selection approach. Results confirm the new technique has improved the precision and recall metrics adopted.

Citation:

Adenilso da Silva Simao, Rodrigo Fernandes de Mello, Luciano Jose Senger, "A Technique to Reduce the Test Case Suites for Regression Testing Based on a Self-Organizing Neural Network Architecture," compsac, vol. 2, pp.93-96, 30th Annual International Computer Software and Applications Conference (COMPSAC'06), 2006

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.