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