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2007 31st Annual International Computer Software and Applications Conference
Prioritizing Coverage-Oriented Testing Process - An Adaptive-Learning-Based Approach and Case Study
Beijing, China
July 24-July 27
ISBN: 0-7695-2870-8
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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