This list contains quality references on metamorphic testing for software and machine learning.
Two nice write-ups on Metamorphic Testing in the form of blog posts are Metamorphic Testing and Test your Machine Learning Algorithm with Metamorphic Testing.
- Metamorphic Testing: A New Approach for Generating Next Test Cases - T. Y. Chen, S. C. Cheung and S. M. Yiu, 1998.
- A Survey on Metamorphic Testing - Sergio Segura, Gordon Fraser, Ana B. Sanchez, and Antonio Ruiz-Cortes, 2016.
- Metamorphic Testing: A Review of Challenges and Opportunities - Tsong Yueh Chen, Fei-Ching Kuo, Huai Liu, Pak-Lok Poon, Dave Towey, T. H. Tse and Zhi Quan Zhou, 2017.
- Performance Metamorphic Testing: A Proof of Concept - Sergio Segura, Javier Troya, Amador Duran and Antonio Ruiz-Cortes, 2018.
- Metamorphic Testing of RESTful Web APIs - Sergio Segura, Jose A. Parejo, Javier Troya, and Antonio Ruiz-Cortes, 2017.
- Automated Testing of Graphics Shader Compilers - Alastair F. Donaldson, Hugues Evrard, Andrei Lascu, and Paul Thomson, 2017.
- Properties of Machine Learning Applications for Use in Metamorphic Testing - Christian Murphy, Gail Kaiser and Lifeng Hu, 2008.
- DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars - Yuchi Tian, Kexin Pei, Suman Jana and Baishakhi Ray, 2018.
- METTLE: a METamorphic Testing approach to assessing and validating unsupervised machine LEarning systems - Xiaoyuan Xie, Zhiyi Zhang, Tsong Yueh Chen, Yang Liu, Pak-Lok Poon and Baowen Xu, 2019.
- An innovative approach for testing bioinformatics programs using metamorphic testing - Tsong Yueh Chen, Joshua WK Ho, Huai Liu and Xiaoyuan Xie, 2009.
- A metamorphic testing approach for event sequences - Jing Chen, Yinglong Wang, Ying Guo, and Mingyue Jiang3, 2019.