Metamorphic Testing of Image Processing Applications: A General Framework and Optimization Strategies

Author:

Sun Chang-Ai1ORCID,Xing Jiayu1ORCID,Li Xiaobei1ORCID,Zhang Xiaoyi1ORCID,Fu An1ORCID

Affiliation:

1. University of Science and Technology Beijing, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Reference23 articles.

1. 2021. MutPy 0.6.1. https://pypi.org/project/MutPy.

2. An iterative metamorphic testing technique for web services and case studies

3. S. S. Banerjee, S. Jha, J. Cyriac, Z. T. Kalbarczyk, and R. K. Iyer. 2018. Hands off the wheel in autonomous vehicles?: A systems perspective on over a million miles of field data. In Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks. 586–597.

4. H. B. Braiek and F. Khomh. 2019. DeepEvolution: A search-based testing approach for deep neural networks. In Proceedings of the International Conference on Software Maintenance and Evolution (ICSME). 454–458.

5. T. Y. Chen. 2010. Metamorphic testing: a simple approach to alleviate the oracle problem. In Proceedings the 5th IEEE International Symposium on Service Oriented System Engineering. 1–2.

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