RBF-MLMR: A Multi-Label Metamorphic Relation Prediction Approach Using RBF Neural Network

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...

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Bibliographic Details
Main Authors: Pengcheng Zhang, Xuewu Zhou, Patrizio Pelliccione, Hareton Leung
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Multi-label
metamorphic testing
metamorphic relation
label count vector
RBF neural network
Online Access:https://ieeexplore.ieee.org/document/8055540/

Internet

https://ieeexplore.ieee.org/document/8055540/

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