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Author:

Xie Xiaoyuan1,Li Jiahao1,Wang Chen1,Chen Tsong Yueh2

Affiliation:

1. Wuhan University, China

2. Wuhan University, China, Swinburne University of Technology, Australia

Funder

Australian Research Council Linkage Grant

National Natural Science Foundation of China

Publisher

ACM

Reference17 articles.

1. An innovative approach for testing bioinformatics programs using metamorphic testing

2. T. Y. Chen P.-L. Poon and X. Xie. Metric: Metamorphic relation identification based on the category-choice framework. Journal of Systems and Software page in press 2015. 10.1016/j.jss.2015.07.037 T. Y. Chen P.-L. Poon and X. Xie. Metric: Metamorphic relation identification based on the category-choice framework. Journal of Systems and Software page in press 2015. 10.1016/j.jss.2015.07.037

3. Semi-Proving: An Integrated Method for Program Proving, Testing, and Debugging

4. Using machine learning techniques to detect metamorphic relations for programs without test oracles

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MUT Model: a metric for characterizing metamorphic relations diversity;Software Quality Journal;2024-07-17

2. Closing the Loop: Towards a Complete Metamorphic Testing Pipeline;Product-Focused Software Process Improvement;2023-12-02

3. A Review of Metamorphic Relation Representation Forms;2023 10th International Conference on Dependable Systems and Their Applications (DSA);2023-08-10

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