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Assessing Black-box Test Case Generation Techniques for Microservices.

, , , and . QUATIC, volume 1621 of Communications in Computer and Information Science, page 46-60. Springer, (2022)

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Monitoring tools for DevOps and microservices: A systematic grey literature review., , , , , , , , , and 7 other author(s). J. Syst. Softw., (February 2024)Causality-driven Testing of Autonomous Driving Systems., , , and . ACM Trans. Softw. Eng. Methodol., 33 (3): 74:1-74:35 (March 2024)Assessing Black-box Test Case Generation Techniques for Microservices., , , and . QUATIC, volume 1621 of Communications in Computer and Information Science, page 46-60. Springer, (2022)Reliability Evaluation of ML systems, the oracle problem.. ISSRE Workshops, page 127-130. IEEE, (2020)An Empirical Evaluation of the Energy and Performance Overhead of Monitoring Tools on Docker-Based Systems., , , , and . ICSOC (1), volume 14419 of Lecture Notes in Computer Science, page 181-196. Springer, (2023)Causal Reasoning in Software Quality Assurance: A Systematic Review., , , and . CoRR, (2024)Iterative Assessment and Improvement of DNN Operational Accuracy., , and . ICSE (NIER), page 43-48. IEEE, (2023)Learning-to-rank vs ranking-to-learn: strategies for regression testing in continuous integration., , , , and . ICSE, page 1-12. ACM, (2020)DeepSample: DNN sampling-based testing for operational accuracy assessment., , and . ICSE, page 120:1-120:12. ACM, (2024)Assessing operational accuracy of CNN-based image classifiers using an oracle surrogate., , , and . Intell. Syst. Appl., (2023)