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Attribute-based Granular Evaluation for Performance of Machine Learning Models.

, , and . AITest, page 125-132. IEEE, (2020)

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Enhancing Symbolic Execution to Test the Compatibility of Re-engineered Industrial Software., , , , , and . APSEC, page 314-317. IEEE, (2012)MuVM: Higher Order Mutation Analysis Virtual Machine for C., , , and . ICST, page 320-329. IEEE Computer Society, (2016)An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty., , , , , and . CoRR, (2022)FSX: a tool for fine-grained incremental unit test generation for C/C++ programs., , , , and . SIGSOFT FSE, page 1052-1056. ACM, (2016)Elixir: an automated repair tool for Java programs., , , , , and . ICSE (Companion Volume), page 77-80. ACM, (2018)Tackling Uncertainty in Safety Assurance for Machine Learning: Continuous Argument Engineering with Attributed Tests., , and . SAFECOMP Workshops, volume 11699 of Lecture Notes in Computer Science, page 398-404. Springer, (2019)Inappropriate Usage Examples in Web API Documentations., , , , , , , , , and 1 other author(s). ICSME, page 343-347. IEEE, (2019)FSX: fine-grained incremental unit test generation for C/C++ programs., , , , and . ISSTA, page 106-117. ACM, (2016)PHANTA: Diversified Test Code Quality Measurement for Modern Software Development., and . ASE, page 1206-1207. IEEE, (2019)Attribute-based Granular Evaluation for Performance of Machine Learning Models., , and . AITest, page 125-132. IEEE, (2020)