Abstract
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.
Original language | English |
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Pages (from-to) | 1235-1249 |
Number of pages | 15 |
Journal | International Journal of Software Engineering and Knowledge Engineering |
Volume | 31 |
Issue number | 09 |
DOIs | |
Publication status | Published - 1 Sept 2021 |
Keywords
- Keras
- Metamorphic testing
- machine learning library
- metamorphic relation composition
- metamorphic relation patterns
- neural network API
- oracle problem
- testing tool
ASJC Scopus subject areas
- Software
- Computer Networks and Communications
- Computer Graphics and Computer-Aided Design
- Artificial Intelligence