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RETORCH: Resource-Aware End-to-End Test Orchestration.

, , , , and . QUATIC, volume 1010 of Communications in Computer and Information Science, page 297-310. Springer, (2019)

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RETORCH: an approach for resource-aware orchestration of end-to-end test cases., , , , and . Softw. Qual. J., 28 (3): 1147-1171 (2020)Fault Localization for Reinforcement Learning., , , and . AITest, page 49-50. IEEE, (2023)Test-Driven Anonymization for Artificial Intelligence., , , and . AITest, page 103-110. IEEE, (2019)MRTree: Functional Testing Based on MapReduce's Execution Behaviour., , and . FiCloud, page 379-384. IEEE Computer Society, (2014)RETORCH: Resource-Aware End-to-End Test Orchestration., , , , and . QUATIC, volume 1010 of Communications in Computer and Information Science, page 297-310. Springer, (2019)Automatic Testing of Design Faults in MapReduce Applications., , , and . IEEE Trans. Reliability, 67 (3): 717-732 (2018)Infrastructure-Aware Functional Testing of MapReduce Programs., , , , , and . FiCloud Workshops, page 171-176. IEEE Computer Society, (2016)Testing MapReduce programs: A systematic mapping study., , and . Journal of Software: Evolution and Process, (2019)Debugging Flaky Tests on Web Applications., , , , and . WEBIST, page 454-461. ScitePress, (2019)Test-Driven Anonymization in Health Data: A Case Study on Assistive Reproduction., , , , , , and . AITest, page 81-82. IEEE, (2020)