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MTKeras: An Automated Metamorphic Testing Platform

journal contribution
posted on 2024-11-17, 13:25 authored by Yelin Liu, Zhi Quan Zhou, Tsong Yueh Chen, Yang Liu, Dave Towey
This paper presents an automated, domain-independent, metamorphic testing platform called MTKeras. In this paper, we report on an investigation demonstrating the effectiveness and usability of MTKeras through five case studies in the four domains of image classification, sentiment analysis, search engines and database management systems. We also report on the effectiveness of combining metamorphic relation (input) patterns in individual metamorphic relations, enhancing the failure-finding abilities of the individual relations. The results of our experiments support combining patterns, and the use of MTKeras. The research reported in this paper shows the applicability of metamorphic relation patterns, and introduces a practical tool for the research community.

Funding

Australian Research Council (LP160101691)

History

Journal title

International Journal of Software Engineering and Knowledge Engineering

Volume

31

Issue

9

Pagination

1235-1249

Language

English

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