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Improving The Effectiveness of Automatically Generated Test Suites Using Metamorphic Testing.

, and . ICSE (Workshops), page 418-419. ACM, (2020)

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Metamorphic Testing: A Simple Yet Effective Approach for Testing Scientific Software., and . Computing in Science and Engineering, 21 (1): 66-72 (2019)Quality Assurance of Bioinformatics Software: A Case Study of Testing a Biomedical Text Processing Tool Using Metamorphic Testing., , , and . MET@ICSE, page 26-33. ACM, (2018)MRpredT: Using Text Mining for Metamorphic Relation Prediction., , and . ICSE (Workshops), page 420-424. ACM, (2020)A Test Suite Minimization Technique for Testing Numerical Programs., , and . SERA, page 61-68. IEEE, (2023)Fault Detection Effectiveness of Source Test Case Generation Strategies for Metamorphic Testing., and . MET@ICSE, page 2-9. ACM, (2018)Using machine learning techniques to detect metamorphic relations for programs without test oracles., and . ISSRE, page 1-10. IEEE Computer Society, (2013)Contextual Understanding and Improvement of Metamorphic Testing in Scientific Software Development., , and . ESEM, page 28:1-28:6. ACM, (2021)Experiences of testing bioinformatics programs for detecting subtle faults., and . SE4Science@ICSE, page 16-22. ACM, (2016)Improving The Effectiveness of Automatically Generated Test Suites Using Metamorphic Testing., and . ICSE (Workshops), page 418-419. ACM, (2020)Prioritization of Metamorphic Relations to reduce the cost of testing., and . CoRR, (2022)