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Empirically evaluating flaky test detection techniques combining test case rerunning and machine learning models.

, , , and . Empir. Softw. Eng., 28 (3): 72 (June 2023)

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Search-based failure discovery using testability transformations to generate pseudo-oracles.. GECCO, page 1689-1696. ACM, (2009)Search-based detection of deviation failures in the migration of legacy spreadsheet applications., , , , and . ISSTA, page 266-275. ACM, (2018)An Investigation into the Effect of Control and Data Dependence Paths on Predicate Testability., , , and . SCAM, page 160-170. IEEE, (2020)Empirically evaluating flaky test detection techniques combining test case rerunning and machine learning models., , , and . Empir. Softw. Eng., 28 (3): 72 (June 2023)Do Automatic Test Generation Tools Generate Flaky Tests?, , , , , and . CoRR, (2023)Do Automatic Test Generation Tools Generate Flaky Tests?, , , , , and . ICSE, page 47:1-47:12. ACM, (2024)An Empirical Study to Determine if Mutants Can Effectively Simulate Students' Programming Mistakes to Increase Tutors' Confidence in Autograding., , and . SIGCSE, page 1055-1061. ACM, (2021)The State Problem for Evolutionary Testing., and . GECCO, volume 2724 of Lecture Notes in Computer Science, page 2488-2498. Springer, (2003)mrstudyr: Retrospectively Studying the Effectiveness of Mutant Reduction Techniques., , and . ICSME, page 591-595. IEEE Computer Society, (2016)Automatically Evaluating the Efficiency of Search-Based Test Data Generation for Relational Database Schemas., , , and . SEKE, page 352-357. KSI Research Inc. and Knowledge Systems Institute Graduate School, (2015)