9 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.LG2021
Discovering Boundary Values of Feature-based Machine Learning Classifiers through Exploratory Datamorphic Testing
Hong Zhu, Ian Bayley
Testing has been widely recognised as difficult for AI applications. This paper proposes a set of testing strategies for testing machine learning applications in the framework of t…
cs.SE2019★ 6 cited
Morphy: A Datamorphic Software Test Automation Tool
Hong Zhu, Ian Bayley, Dongmei Liu +1
This paper presents an automated tool called Morphy for datamorphic testing. It classifies software test artefacts into test entities and test morphisms, which are mappings on test…
cs.SE2019★ 9 cited
Datamorphic Testing: A Methodology for Testing AI Applications
Hong Zhu, Dongmei Liu, Ian Bayley +2
With the rapid growth of the applications of machine learning (ML) and other artificial intelligence (AI) techniques, adequate testing has become a necessity to ensure their qualit…