62 citations · 66 across the 3 of their papers we have counts for
3 papers
cs.SE2024★ 3 cited
Metamorphic Relation Generation: State of the Art and Visions for Future Research
Rui Li, Huai Liu, Pak-Lok Poon +5
Metamorphic testing has become one mainstream technique to address the notorious oracle problem in software testing, thanks to its great successes in revealing real-life bugs in a…
cs.LG2021★ 1 cited
Use of Metamorphic Relations as Knowledge Carriers to Train Deep Neural Networks
Tsong Yueh Chen, Pak-Lok Poon, Kun Qiu +2
Training multiple-layered deep neural networks (DNNs) is difficult. The standard practice of using a large number of samples for training often does not improve the performance of…
cs.SE2018★ 62 cited
METTLE: a METamorphic testing approach to assessing and validating unsupervised machine LEarning systems
Xiaoyuan Xie, Zhiyi Zhang, Tsong Yueh Chen +3
Unsupervised machine learning is the training of an artificial intelligence system using information that is neither classified nor labeled, with a view to modeling the underlying…