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Author:
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
Link
https://dl.acm.org/doi/pdf/10.1145/2896971.2896976
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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