Design and analysis of GUI test-case prioritization using weight-based methods
Journal of Systems and Software
Model-based test prioritizing: a comparative soft-computing approach and case studies
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
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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.