Prioritizing Coverage-Oriented Testing Process - An Adaptive-Learning-Based Approach and Case Study

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http://doi.ieeecomputersociety.org/10.1109/COMPSAC.2007.169

2007 31st Annual International Comput ...

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	Fevzi Belli, Mubariz Eminov, Nida Gokce, "Prioritizing Coverage-Oriented Testing Process - An Adaptive-Learning-Based Approach and Case Study," Computer Software and Applications Conference, Annual International, vol. 2, pp. 197-203, 2007 31st Annual International Computer Software and Applications Conference, 2007.

	BibTex	x
	@article{ 10.1109/COMPSAC.2007.169, author = {Fevzi Belli and Mubariz Eminov and Nida Gokce}, title = {Prioritizing Coverage-Oriented Testing Process - An Adaptive-Learning-Based Approach and Case Study}, journal ={Computer Software and Applications Conference, Annual International}, volume = {2}, year = {2007}, issn = {0730-3157}, pages = {197-203}, doi = {http://doi.ieeecomputersociety.org/10.1109/COMPSAC.2007.169}, 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 - Prioritizing Coverage-Oriented Testing Process - An Adaptive-Learning-Based Approach and Case Study SN - 0730-3157 SP197 EP203 A1 - Fevzi Belli, A1 - Mubariz Eminov, A1 - Nida Gokce, PY - 2007 KW - null VL - 2 JA - Computer Software and Applications Conference, Annual International ER -

Fevzi Belli, University of Paderborn, Germany

Mubariz Eminov, Mugla University, Turkey.

Nida Gokce, Mugla University, Turkey

This paper proposes a graph-model-based approach to prioritizing the test process. Tests are ranked according to their preference degrees which are determined indirectly, i.e., through classifying the events. To construct the groups of events, unsupervised neural network is trained by adaptive competitive learning algorithm. A case study demonstrates and validates the approach.

Citation:

Fevzi Belli, Mubariz Eminov, Nida Gokce, "Prioritizing Coverage-Oriented Testing Process - An Adaptive-Learning-Based Approach and Case Study," compsac, vol. 2, pp.197-203, 2007 31st Annual International Computer Software and Applications Conference, 2007

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