RBF-MLMR: A Multi-Label Metamorphic Relation Prediction Approach Using RBF Neural Network
Metamorphic testing has been successfully used in many different fields to solve the test oracle problem. However, how to find a set of appropriate metamorphic relations for metamorphic testing remains a complicated and tedious task. Recently some machine learning approaches have been proposed to pr...
Main Authors: | Pengcheng Zhang, Xuewu Zhou, Patrizio Pelliccione, Hareton Leung |
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Format: | Article |
Language: | English |
Published: |
IEEE
2017-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8055540/ |
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