Metamorphic Testing-Reference-Cited by-同舟云学术

Metamorphic Testing

Published:2019-01-31 Issue:1 Volume:51 Page:1-27
ISSN:0360-0300
Container-title:ACM Computing Surveys
language:en
Short-container-title:ACM Comput. Surv.

Author:

Chen Tsong Yueh¹,Kuo Fei-Ching¹,Liu Huai²^ORCID,Poon Pak-Lok³,Towey Dave⁴,Tse T. H.⁵,Zhou Zhi Quan⁶

Affiliation:

1. Swinburne University of Technology, Hawthorn, Australia

2. Victoria University, Melbourne, Australia

3. RMIT University, Melbourne, Australia

4. University of Nottingham Ningbo China, Ningbo, China

5. The University of Hong Kong, Pokfulam, Hong Kong

6. University of Wollongong, Wollongong, Australia

Abstract

Metamorphic testing is an approach to both test case generation and test result verification. A central element is a set of metamorphic relations, which are necessary properties of the target function or algorithm in relation to multiple inputs and their expected outputs. Since its first publication, we have witnessed a rapidly increasing body of work examining metamorphic testing from various perspectives, including metamorphic relation identification, test case generation, integration with other software engineering techniques, and the validation and evaluation of software systems. In this article, we review the current research of metamorphic testing and discuss the challenges yet to be addressed. We also present visions for further improvement of metamorphic testing and highlight opportunities for new research.

Funder

General Research Fund of the Research Grants Council of Hong Kong

International Doctoral Innovation Centre

University of Nottingham

Ningbo Science and Technology Bureau

Australian Research Council

Artificial Intelligence and Optimisation Research Group of University of Nottingham Ningbo China

Ningbo Education Bureau

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/3143561

Reference97 articles.

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